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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. 8-RES-JB
    11. 6535
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical elements related to programming and code execution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     stocking
    -0.67
     jaw
    -0.66
     microphones
    -0.65
     sights
    -0.64
     Ambro
    -0.64
     puzzling
    -0.62
    bestos
    -0.62
     antitrust
    -0.61
     lighting
    -0.58
     ribbon
    -0.58
    POSITIVE LOGITS
     +=
    1.09
     !=
    1.06
     &&
    1.04
    ['
    1.04
     ==
    1.04
     ||
    1.00
    ->
    0.99
    .$
    0.95
     =
    0.93
     >=
    0.93
    Activations Density 0.097%

    No Known Activations