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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
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    Explanations

    mentions of organized crime activities

    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 @ 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
    rendered
    -0.80
    reys
    -0.77
    ï¸ı
    -0.77
    Enh
    -0.75
    den
    -0.73
    gets
    -0.71
    ãĥĺãĥ©
    -0.71
    PLIED
    -0.70
    stones
    -0.69
    worthiness
    -0.68
    POSITIVE LOGITS
     affili
    0.95
     organizing
    0.93
    eering
    0.93
     organized
    0.92
    izational
    0.87
     organising
    0.86
     Parenthood
    0.85
     organised
    0.83
     feder
    0.83
    urally
    0.82
    Activations Density 0.014%

    No Known Activations