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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. 4-RES-JB
    11. 6708
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    Explanations

    words related to the behavior and actions of individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "behave" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ondo
    -0.72
     Solo
    -0.71
     Herz
    -0.70
    andel
    -0.68
    unity
    -0.68
    occup
    -0.67
    pelling
    -0.67
    fram
    -0.67
    ixed
    -0.65
     Flavoring
    -0.65
    POSITIVE LOGITS
    uate
    1.05
     behave
    1.00
     behaves
    0.99
     err
    0.98
     behaved
    0.90
     behavi
    0.89
    uated
    0.88
    uations
    0.86
    iments
    0.84
     behavior
    0.84
    Activations Density 0.014%

    No Known Activations