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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. 11-RES-JB
    11. 11614
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    Explanations

    locations or entities in San Francisco

    oai_token-act-pair · gpt-3.5-turbo

    references to San Francisco and its surroundings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.89
    ijah
    -0.87
    mble
    -0.80
    ioned
    -0.74
    meaning
    -0.70
    onut
    -0.69
    insk
    -0.69
    draw
    -0.69
    xual
    -0.66
    holding
    -0.66
    POSITIVE LOGITS
     Chronicle
    1.27
     Bay
    1.25
     Giants
    1.09
     Examiner
    1.01
     Unified
    0.99
     Francisco
    0.97
    Bay
    0.97
     BART
    0.93
     Supervisor
    0.91
     49
    0.91
    Activations Density 0.041%

    No Known Activations