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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. 11-RES-JB
    11. 12174
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    Explanations

    phrases containing the exclamation "What the" followed by a strong emotional word

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrase structures involving "what the hell," "what the fuck," or similar expressions of confusion or exasperation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avan
    -0.87
    alus
    -0.78
    tesy
    -0.75
    dropping
    -0.75
    iscovery
    -0.73
    onduct
    -0.72
    thia
    -0.70
    hei
    -0.69
    ._
    -0.67
    ouble
    -0.66
    POSITIVE LOGITS
     heck
    1.81
     hell
    1.74
     fuck
    1.41
     fuss
    1.30
     HELL
    1.17
     ramifications
    0.94
     implications
    0.90
     consequences
    0.87
     repercussions
    0.86
     future
    0.85
    Activations Density 0.088%

    No Known Activations