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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. 9-RES-JB
    6. 3845
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    Explanations

    proper nouns, specifically names of historical or notable figures or places

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MpServer
    -0.65
    english
    -0.64
    rawdownloadcloneembedreportprint
    -0.64
    Cover
    -0.64
    enture
    -0.63
    ciplinary
    -0.63
    Online
    -0.62
    itely
    -0.61
     independ
    -0.61
    OUND
    -0.61
    POSITIVE LOGITS
     Ezra
    1.05
     Pierre
    1.01
     Andrew
    1.01
     Julius
    0.99
     Rupert
    0.97
     Richard
    0.96
     Boris
    0.95
     Peter
    0.95
     José
    0.95
     Viktor
    0.94
    Activations Density 0.287%

    No Known Activations