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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. 24082
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    Explanations

    expressions indicating surprise, shock, or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or disbelief

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    76561
    -0.72
    inelli
    -0.66
    arette
    -0.66
    alion
    -0.66
    arij
    -0.63
    oms
    -0.63
    reprene
    -0.61
    arettes
    -0.61
    erent
    -0.60
     sidx
    -0.60
    POSITIVE LOGITS
     god
    1.08
     heavens
    1.06
     goodness
    1.05
     heaven
    0.89
    god
    0.86
     dear
    0.86
     lord
    0.85
     GOD
    0.83
     fucking
    0.81
     fuck
    0.80
    Activations Density 0.048%

    No Known Activations