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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. 8-RES-JB
    11. 2303
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    Explanations

    words related to examinations and tests

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of examinations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    taboola
    -0.71
     Kush
    -0.70
    gren
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    cedented
    -0.66
     Hots
    -0.66
    birds
    -0.66
    spawn
    -0.60
     settlements
    -0.60
     Aph
    -0.59
    tera
    -0.58
    POSITIVE LOGITS
    iners
    1.24
     exams
    1.02
     exam
    0.93
     examinations
    0.90
     Exam
    0.88
    osterone
    0.86
     examiner
    0.80
     prep
    0.80
    ourses
    0.77
    ining
    0.77
    Activations Density 0.051%

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