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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. 4-RES-JB
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    Explanations

    the name "Kenny" and variations thereof

    oai_token-act-pair · gpt-3.5-turbo

    the name "Kenny" along with its variations

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

    No Comments

    Negative Logits
    pmwiki
    -0.89
    76561
    -0.80
    Ö¼
    -0.74
    iminary
    -0.71
    ÙIJ
    -0.69
    icist
    -0.69
    女
    -0.69
    gency
    -0.67
    irements
    -0.66
    Administ
    -0.66
    POSITIVE LOGITS
     Kenny
    0.95
    otle
    0.81
    weed
    0.78
     Kong
    0.78
    pole
    0.73
    wine
    0.71
    ota
    0.71
     Stam
    0.70
    hook
    0.70
     Ches
    0.69
    Activations Density 0.007%

    No Known Activations