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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. 8-RES-JB
    11. 12827
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Ribbon
    -0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.73
    è¦ļéĨĴ
    -0.73
     mileage
    -0.71
     Metatron
    -0.70
     thereof
    -0.68
     orally
    -0.67
     formerly
    -0.64
     SPACE
    -0.64
     thereto
    -0.64
    POSITIVE LOGITS
    jamin
    1.23
    odore
    1.12
    hesda
    1.08
    lahoma
    1.07
    resa
    1.07
    alyst
    1.06
    anie
    1.04
    ropolitan
    1.04
    atche
    1.01
    unte
    1.00
    Activations Density 0.256%

    No Known Activations