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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. 2672
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Click" indicating calls to action or prompts for user engagement

    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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    Negative Logits
     Scotia
    -0.73
     Chancellor
    -0.65
    utive
    -0.65
     Zimmer
    -0.64
     Berk
    -0.59
     Greenwich
    -0.59
     VAT
    -0.59
    conservancy
    -0.59
    ãĥĸ
    -0.59
     Warsaw
    -0.58
    POSITIVE LOGITS
    lish
    0.85
    ety
    0.80
    tip
    0.79
    prints
    0.74
    prise
    0.74
    tips
    0.73
    irs
    0.72
    able
    0.72
    er
    0.72
    click
    0.71
    Activations Density 0.017%

    No Known Activations