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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. 22722
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    Explanations

    mentions of fatal incidents or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fatal incidents or death

    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
    erous
    -0.78
    yang
    -0.75
     Remastered
    -0.75
    ourced
    -0.74
    orers
    -0.73
    yi
    -0.72
    berman
    -0.72
    arte
    -0.72
    unda
    -0.72
    here
    -0.71
    POSITIVE LOGITS
     overdoses
    1.06
     overdose
    1.04
     flaw
    0.99
     shootings
    0.99
     injection
    0.98
     gunshot
    0.96
     stabbing
    0.93
    icious
    0.92
     wounds
    0.91
     accidents
    0.91
    Activations Density 0.034%

    No Known Activations