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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. 3-RES-JB
    6. 1683
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    INDEX
    Explanations

    proper names or entities, such as people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
    emale
    -0.63
    ãĥ¼ãĥĨ
    -0.57
    shapeshifter
    -0.55
    eteria
    -0.54
    arettes
    -0.53
    Interstitial
    -0.52
    083
    -0.50
     circulate
    -0.50
    ../
    -0.50
    ãĥ¼ãĥ³
    -0.49
    POSITIVE LOGITS
     GOODMAN
    0.65
     Rice
    0.61
     Reed
    0.61
     Roberts
    0.58
     Hos
    0.57
     Miller
    0.57
     Foster
    0.56
     Butler
    0.56
     Jenkins
    0.56
     Bradley
    0.56
    Activations Density 0.476%

    No Known Activations