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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. 3-RES-JB
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    Explanations

    references to the devil

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the concept of the devil

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.82
    Ô
    -0.78
    uries
    -0.76
    ij士
    -0.74
    POR
    -0.73
    ¥
    -0.73
    dL
    -0.73
    PT
    -0.70
    ±
    -0.70
     Niet
    -0.70
    POSITIVE LOGITS
    ishly
    1.17
     incarn
    0.94
     worsh
    0.92
    esses
    0.83
     Rays
    0.81
    ish
    0.76
    ibur
    0.74
     horns
    0.73
     ray
    0.72
     worship
    0.71
    Activations Density 0.010%

    No Known Activations