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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    references to spreadsheet software and related data analysis terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    inges
    -0.86
    switch
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    heimer
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     nominees
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    lights
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    joice
    -0.63
    req
    -0.60
    Ń
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    eties
    -0.59
    POSITIVE LOGITS
    sheets
    1.16
     spreadsheet
    1.14
    sheet
    1.12
    ulative
    0.90
     Excel
    0.86
    arial
    0.82
    heet
    0.81
    TeX
    0.77
     sheet
    0.76
    chio
    0.75
    Activations Density 0.029%

    No Known Activations