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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. 16027
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    Explanations

    terms related to conflicts, trials, and commitment

    oai_token-act-pair · gpt-3.5-turbo

    words related to evacuation or disorientation

    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
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    No Comments

    Negative Logits
    士
    -0.75
    advertisement
    -0.69
    CHR
    -0.66
    die
    -0.64
    Cr
    -0.63
    artisan
    -0.63
    Nature
    -0.61
    Cry
    -0.60
    hold
    -0.60
    Sea
    -0.59
    POSITIVE LOGITS
    uation
    1.45
    uations
    1.42
    uating
    1.33
    uated
    1.32
    uates
    1.24
    uate
    1.08
    eers
    0.78
    ually
    0.77
    ugu
    0.75
    itis
    0.74
    Activations Density 0.017%

    No Known Activations