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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. 10-RES-JB
    11. 2738
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    Explanations

    words related to disasters and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to crises, disasters, and significant societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynthesis
    -0.78
    ij
    -0.76
    gemony
    -0.76
    etheless
    -0.74
    hran
    -0.73
    thora
    -0.69
    Semitism
    -0.67
    comings
    -0.65
    ularity
    -0.65
    stanbul
    -0.64
    POSITIVE LOGITS
     prevention
    1.73
     Prevention
    1.44
     mitigation
    1.43
     detection
    1.16
     avoidance
    1.08
     victims
    1.07
     survivor
    1.06
    proof
    1.03
     Detection
    1.02
     survivors
    1.02
    Activations Density 0.289%

    No Known Activations