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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. 14500
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    INDEX
    Explanations

    numerical values followed by a percentage sign in sentences

    oai_token-act-pair · gpt-3.5-turbo

    elements related to numerical data or statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
     lifes
    -0.79
     affili
    -0.75
     camp
    -0.75
     pressing
    -0.74
     grip
    -0.73
     Aval
    -0.73
     bomb
    -0.72
     quir
    -0.72
     grapp
    -0.71
     carriage
    -0.70
    POSITIVE LOGITS
    However
    1.68
    Moreover
    1.66
    Furthermore
    1.65
    Finally
    1.64
    Therefore
    1.63
    Conclusion
    1.60
    And
    1.58
    Lastly
    1.57
    Then
    1.57
    Additionally
    1.56
    Activations Density 0.539%

    No Known Activations