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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. 1-RES-JB
    6. 4790
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    INDEX
    Explanations

    mentions of specific locations or entities, especially universities and medical terms with a possible country context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eson
    -0.80
    atile
    -0.78
    hester
    -0.77
    ively
    -0.77
    otto
    -0.74
    esc
    -0.74
    es
    -0.74
    atively
    -0.73
    enegger
    -0.68
    umin
    -0.68
    POSITIVE LOGITS
     Skydragon
    0.86
    ocracy
    0.83
    ulhu
    0.77
    knife
    0.74
    breaker
    0.74
    Bay
    0.73
    pta
    0.73
    assian
    0.72
     Concord
    0.72
    ffen
    0.72
    Activations Density 0.028%

    No Known Activations