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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. 0-RES-JB
    11. 13440
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    Explanations

    words related to specific universities or locations, particularly focusing on "Rochester" and "Louisville."

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of universities and cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     perm
    -0.86
     isot
    -0.74
     Meg
    -0.74
    ãĥ¡
    -0.72
     biod
    -0.71
     cod
    -0.71
    ãĥĥ
    -0.70
    gements
    -0.69
    Meg
    -0.68
    Dat
    -0.67
    POSITIVE LOGITS
     Louisville
    2.68
     Rochester
    2.46
     Akron
    2.45
     Toledo
    2.35
     Dayton
    2.17
     Syracuse
    2.02
     Wilmington
    1.99
     Cincinnati
    1.94
     Springfield
    1.92
     Albany
    1.91
    Activations Density 0.049%

    No Known Activations