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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. 9-RES-JB
    11. 9107
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    Explanations

    references to specific words in sentences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "word" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
    etheus
    -0.76
    asio
    -0.73
    cffff
    -0.72
    abama
    -0.70
    izo
    -0.70
    âĹ¼
    -0.68
    isner
    -0.67
    NetMessage
    -0.66
    itant
    -0.65
     Democr
    -0.64
    POSITIVE LOGITS
    press
    1.37
    sworth
    1.21
     ptr
    0.94
    play
    0.90
    mark
    0.89
     processor
    0.85
    Press
    0.83
    mith
    0.80
    wrap
    0.78
    ifier
    0.77
    Activations Density 0.034%

    No Known Activations