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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. 8-RES-JB
    11. 10932
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    Explanations

    references to organized activities, likely related to crime or corruption

    oai_token-act-pair · gpt-3.5-turbo

    references to organized crime

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLIED
    -0.81
    ï¸ı
    -0.78
    lease
    -0.73
    ths
    -0.73
    ixed
    -0.72
    uden
    -0.71
    reys
    -0.70
    gets
    -0.68
    onds
    -0.68
    qt
    -0.68
    POSITIVE LOGITS
    eering
    1.04
     Parenthood
    0.93
    izational
    0.87
    arity
    0.86
     affili
    0.80
     organizing
    0.77
     organized
    0.76
    eers
    0.74
    ATIONS
    0.73
    ãĤ±
    0.73
    Activations Density 0.044%

    No Known Activations