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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. 18081
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    Explanations

    words related to examinations and tests

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of exams and assessments

    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
    taboola
    -0.76
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     Hots
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    -0.66
    deals
    -0.65
     Pie
    -0.64
    externalActionCode
    -0.60
    minecraft
    -0.59
    POSITIVE LOGITS
    iners
    1.25
     exams
    1.01
     exam
    0.96
     examinations
    0.93
     examiner
    0.86
     Exam
    0.86
     prep
    0.81
    ining
    0.78
    udo
    0.78
    osterone
    0.78
    Activations Density 0.037%

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