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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
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    INDEX
    Explanations

    mentions of the word "Wool"

    oai_token-act-pair · gpt-3.5-turbo

    references to wool and its various associations

    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
    CENT
    -0.73
     Maduro
    -0.70
     Hiroshima
    -0.67
     Aval
    -0.67
     Oro
    -0.67
     TED
    -0.66
     Cuomo
    -0.66
     Chavez
    -0.64
     citation
    -0.63
     Assad
    -0.63
    POSITIVE LOGITS
    worth
    1.11
    wich
    1.09
    mouth
    0.98
    sey
    0.95
    worms
    0.95
    folk
    0.93
    enn
    0.93
    boro
    0.93
    igan
    0.91
    awei
    0.91
    Activations Density 0.004%

    No Known Activations