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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. 7-RES-JB
    11. 16668
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    Explanations

    email-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    various forms of punctuation, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hest
    -0.81
    kinson
    -0.69
    gow
    -0.69
    ufact
    -0.66
    abal
    -0.66
    teenth
    -0.65
     fronts
    -0.61
    edom
    -0.60
    ulton
    -0.60
     Ballard
    -0.59
    POSITIVE LOGITS
     please
    0.80
     nor
    0.76
    please
    0.76
     Please
    0.75
    Sorry
    0.73
     Cancel
    0.69
    Please
    0.69
     PLEASE
    0.66
    ause
    0.63
     despite
    0.60
    Activations Density 0.017%

    No Known Activations