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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. 3-RES-JB
    11. 5401
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    Explanations

    proper nouns, specifically names like "Norman"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Norman" in various contexts

    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
    Constructed
    -0.88
    Fra
    -0.77
    xxxxxxxx
    -0.75
    requ
    -0.75
    20439
    -0.74
    RAW
    -0.72
    claimed
    -0.71
    tered
    -0.71
    favorite
    -0.70
    Redd
    -0.70
    POSITIVE LOGITS
     Norman
    0.96
     Orth
    0.83
     Eisen
    0.83
     Bram
    0.82
     Orn
    0.78
    oland
    0.78
     metic
    0.77
    ason
    0.75
    oun
    0.75
     Schwarz
    0.74
    Activations Density 0.008%

    No Known Activations