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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. 9-RES-JB
    11. 19673
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences with statistical results or financial data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     orche
    -0.83
     abduct
    -0.81
     disemb
    -0.77
     defe
    -0.77
     holog
    -0.77
     freely
    -0.76
     volunte
    -0.75
     imperson
    -0.75
     barg
    -0.73
     tricked
    -0.73
    POSITIVE LOGITS
     Similarly
    1.53
     Meanwhile
    1.48
     Conversely
    1.47
     Compared
    1.43
     Overall
    1.40
     Likewise
    1.40
     Notably
    1.37
     Additionally
    1.36
     Compare
    1.34
     Among
    1.34
    Activations Density 0.239%

    No Known Activations