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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 11120
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    phrases related to starting up and initializing processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the operation and functionality of systems or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Flavoring
    -0.82
    azo
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     deleg
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     href
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    ograms
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    laus
    -0.59
    wings
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     surn
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    ¿½
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    ãĥ©ãĥ³
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    0.80
     smoothly
    0.78
     again
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     Powered
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     whilst
    0.74
     Fargo
    0.72
     correctly
    0.71
     synchronized
    0.71
     BEFORE
    0.71
     automatically
    0.71
    Activations Density 0.324%

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