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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. 6-RES-JB
    11. 9584
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    Explanations

    mentions of injuries and physical harm

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries and fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     virtue
    -0.76
     virtues
    -0.73
    channelAvailability
    -0.70
     Teach
    -0.69
     monog
    -0.68
     veto
    -0.68
    æ©Ł
    -0.66
     monopol
    -0.66
     Britann
    -0.66
     royalties
    -0.66
    POSITIVE LOGITS
    lass
    0.86
    nsic
    0.85
    EMS
    0.85
    د
    0.83
    bris
    0.83
    nsics
    0.82
     charred
    0.82
    abre
    0.79
     debris
    0.78
     recovered
    0.75
    Activations Density 0.288%

    No Known Activations