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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 24296
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    INDEX
    Explanations

    references to undercover operations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to undercover operations and agents

    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
    jri
    -0.78
    hement
    -0.77
    enburg
    -0.77
    estone
    -0.75
    wake
    -0.74
    yards
    -0.74
    conservancy
    -0.73
    usable
    -0.73
    grave
    -0.71
    hof
    -0.71
    POSITIVE LOGITS
     FBI
    0.93
     ops
    0.92
     operatives
    0.92
     CIA
    0.92
     operation
    0.87
     officer
    0.86
     sting
    0.84
     operative
    0.83
     Operation
    0.82
     cops
    0.82
    Activations Density 0.092%

    No Known Activations