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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. 6-RES-JB
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    Explanations

    mentions of a specific person, in this case, John McCain

    oai_token-act-pair · gpt-3.5-turbo

    mentions of John McCain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ams
    -0.69
    MW
    -0.68
    bidden
    -0.67
    heet
    -0.67
    ologically
    -0.66
    OX
    -0.66
     Peb
    -0.64
    arist
    -0.63
    ¤
    -0.62
    ter
    -0.62
    POSITIVE LOGITS
    artney
    0.95
     McCain
    0.85
    aign
    0.74
    Care
    0.72
    istani
    0.70
     ç¥ŀ
    0.69
    arella
    0.68
     vetoed
    0.67
     pard
    0.67
    cius
    0.66
    Activations Density 0.010%

    No Known Activations