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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. 9-RES-JB
    11. 19412
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    Explanations

    expressions indicating certainty or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating certainty or qualification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    utenberg
    -0.73
    izens
    -0.61
    iasco
    -0.60
    uez
    -0.57
    rator
    -0.56
    alities
    -0.55
    acies
    -0.54
    ById
    -0.54
    alez
    -0.54
    prus
    -0.53
    POSITIVE LOGITS
    .,
    0.98
    .;
    0.91
    ;
    0.89
    .
    0.89
    .:
    0.84
    .ãĢį
    0.82
    .-
    0.81
    .--
    0.78
    .–
    0.78
    ,—
    0.76
    Activations Density 0.339%

    No Known Activations