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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. 11-RES-JB
    11. 4960
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    Explanations

    words related to criminal activities or legal matters

    oai_token-act-pair · gpt-3.5-turbo

    individual letters or characters within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     envy
    -0.73
    ippi
    -0.62
    OPA
    -0.62
     wee
    -0.60
     bases
    -0.56
    EMP
    -0.55
     Tsukuyomi
    -0.54
    REAM
    -0.54
     tresp
    -0.53
     horr
    -0.53
    POSITIVE LOGITS
    velt
    0.90
    ifix
    0.87
    ï¸ı
    0.84
    phant
    0.80
    eway
    0.79
    inary
    0.75
    inka
    0.74
    ois
    0.73
    scription
    0.71
    ebook
    0.70
    Activations Density 0.149%

    No Known Activations