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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. 13300
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    Explanations

    phrases indicating potential harm, damage, or negative impact

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative impacts or harm to relationships and reputations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mad
    -0.69
    az
    -0.67
    ocene
    -0.66
    ull
    -0.66
    ãĥ¼ãĥ³
    -0.65
    lich
    -0.63
     helm
    -0.63
    DragonMagazine
    -0.60
    owler
    -0.60
    ilk
    -0.60
    POSITIVE LOGITS
     morale
    1.33
     havoc
    1.23
     credibility
    1.12
     livelihood
    1.11
     confidence
    0.96
     competitiveness
    0.87
     reputation
    0.87
     perceptions
    0.86
     viability
    0.86
     friendships
    0.85
    Activations Density 0.222%

    No Known Activations