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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    proper nouns related to the city of San Francisco

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "San Francisco."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.89
     Beir
    -0.71
    respons
    -0.71
    big
    -0.69
    trigger
    -0.67
    ãĥĦ
    -0.66
    draw
    -0.65
    ilater
    -0.65
    onut
    -0.65
    minus
    -0.64
    POSITIVE LOGITS
     Francisco
    1.08
     Examiner
    1.05
     Bay
    1.04
     Chronicle
    0.94
     Giants
    0.86
     County
    0.82
     Diego
    0.78
     skyline
    0.78
     Unified
    0.78
     Rican
    0.77
    Activations Density 0.015%

    No Known Activations