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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. 16064
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    Explanations

    locations or cities, specifically focusing on San Francisco

    oai_token-act-pair · gpt-3.5-turbo

    mentions of San Francisco

    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
    mble
    -0.92
     Beir
    -0.76
    trigger
    -0.70
    hift
    -0.70
    ividual
    -0.69
    respons
    -0.69
    big
    -0.67
    draw
    -0.66
    ãĥł
    -0.66
    ãĥĦ
    -0.66
    POSITIVE LOGITS
     Bay
    1.07
     Francisco
    1.04
     Chronicle
    1.00
     Examiner
    0.95
     Giants
    0.90
     skyline
    0.80
     Diego
    0.79
     County
    0.78
     Rican
    0.75
     Unified
    0.74
    Activations Density 0.012%

    No Known Activations