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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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    Explanations

    the word stem "illing"

    oai_token-act-pair · gpt-3.5-turbo

    words related to killing or mills

    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
     IEEE
    -0.76
    quel
    -0.65
     gobl
    -0.65
     Sigma
    -0.64
    enegger
    -0.64
     Malays
    -0.63
    oÄŁ
    -0.62
     Assassins
    -0.62
     Dys
    -0.62
    pai
    -0.61
    POSITIVE LOGITS
    sburg
    1.08
    iard
    0.91
    espie
    0.89
    ennial
    0.83
    iflower
    0.77
    borough
    0.76
    bury
    0.74
    esley
    0.74
    avascript
    0.73
    waukee
    0.72
    Activations Density 0.010%

    No Known Activations