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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "Boehner"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of John Boehner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isites
    -0.72
    nesota
    -0.72
    arine
    -0.69
    onyms
    -0.69
    tering
    -0.67
    arist
    -0.67
    epad
    -0.66
    isite
    -0.65
    ties
    -0.65
    izations
    -0.65
    POSITIVE LOGITS
     Boehner
    0.96
    holder
    0.74
     bund
    0.66
     ç¥ŀ
    0.65
    ratulations
    0.64
    ç·
    0.63
     aides
    0.63
     speaker
    0.62
    quist
    0.62
     shenan
    0.62
    Activations Density 0.009%

    No Known Activations