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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. 4-RES-JB
    6. 3196
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    Explanations

    quantitative data or statistical information related terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to self-reported data and statistics

    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
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    Negative Logits
    Äĩ
    -0.51
     grate
    -0.49
    rawdownloadcloneembedreportprint
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     Mehran
    -0.45
     EntityItem
    -0.43
    ÃĥÃĤ
    -0.43
     kidding
    -0.42
     Wyn
    -0.42
    STER
    -0.42
     Pwr
    -0.41
    POSITIVE LOGITS
    iod
    0.52
     eternity
    0.52
    cycles
    0.52
    usterity
    0.49
    power
    0.48
    DonaldTrump
    0.46
    ties
    0.44
    arsity
    0.44
    wealth
    0.43
     footing
    0.43
    Activations Density 1.928%

    No Known Activations