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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. 5482
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    oai_token-act-pair · gpt-3.5-turbo

    instances or examples within a text

    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
    redo
    -0.72
    utsu
    -0.69
    Others
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    pun
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    Reloaded
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     loopholes
    -0.62
    BIT
    -0.62
     ende
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    stadt
    -0.60
    vention
    -0.60
    POSITIVE LOGITS
     Suppose
    1.01
     XY
    0.96
     foo
    0.95
    foo
    0.95
     suppose
    0.73
     ÃĹ
    0.71
     Foo
    0.70
     \(
    0.69
     noisy
    0.67
    netflix
    0.64
    Activations Density 0.923%

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