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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. 10-RES-JB
    11. 5031
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    Explanations

    proper nouns, possibly related to specific companies, organizations, or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of entities and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trillions
    -0.74
    azes
    -0.73
     ripe
    -0.72
    ecast
    -0.72
     "$:/
    -0.70
    NetMessage
    -0.70
    abiding
    -0.67
    eday
    -0.65
    stasy
    -0.64
    piring
    -0.63
    POSITIVE LOGITS
     spokeswoman
    1.97
     spokesman
    1.96
     spokesperson
    1.96
     spokes
    1.32
     manager
    1.25
     representative
    1.22
     administrator
    1.16
     CEO
    1.15
     vice
    1.14
     Director
    1.14
    Activations Density 0.361%

    No Known Activations