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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. 4-RES-JB
    11. 14205
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    Explanations

    violence-related words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    words related to causing harm or suffering

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

    No Comments

    Negative Logits
    runner
    -0.92
     Ou
    -0.78
    cius
    -0.76
    wagen
    -0.73
    cube
    -0.73
    chrom
    -0.72
    runners
    -0.70
     McKenna
    -0.68
    rooms
    -0.67
    gnu
    -0.66
    POSITIVE LOGITS
     inflicted
    1.16
     inflicting
    1.01
     inflict
    0.99
     inflic
    0.97
     wounds
    0.92
     adolesc
    0.88
     veter
    0.85
    hesda
    0.85
     therap
    0.84
     scars
    0.82
    Activations Density 0.014%

    No Known Activations