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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. 7-RES-JB
    11. 14703
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    INDEX
    Explanations

    names of governmental or public figures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals and places mentioned in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uously
    -0.84
    76561
    -0.75
    Pocket
    -0.73
    chest
    -0.72
    ================================================================
    -0.72
    icles
    -0.69
    icle
    -0.67
    fare
    -0.67
    opl
    -0.66
    gets
    -0.66
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.79
    ey
    0.73
    inatory
    0.72
    edia
    0.71
    iners
    0.70
    shire
    0.67
    ean
    0.65
    raint
    0.65
    dfx
    0.64
    mere
    0.63
    Activations Density 0.099%

    No Known Activations