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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. 4-RES-JB
    11. 12102
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    Explanations

    issues, problems, or negative aspects in a given context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "badly."

    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
    anwhile
    -0.79
    raltar
    -0.75
    iture
    -0.74
    inarily
    -0.70
    cript
    -0.70
    ership
    -0.70
    icip
    -0.70
    heny
    -0.68
    iferation
    -0.68
    ory
    -0.68
    POSITIVE LOGITS
     enough
    0.85
     behaved
    0.83
     damaged
    0.81
     beaten
    0.79
     suited
    0.78
     mistaken
    0.76
     burned
    0.74
     degraded
    0.73
     patched
    0.72
     tarn
    0.72
    Activations Density 0.007%

    No Known Activations