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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. 11-RES-JB
    11. 11563
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    INDEX
    Explanations

    instances of tests, examinations, or requirements being completed, passed, or failed

    oai_token-act-pair · gpt-3.5-turbo

    instances of failing and passing tests or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     speculate
    -0.73
    iom
    -0.66
    seless
    -0.66
    Tweet
    -0.66
    Spread
    -0.65
    lisher
    -0.64
     Rory
    -0.64
    viks
    -0.63
    emate
    -0.63
    rils
    -0.63
    POSITIVE LOGITS
     exams
    1.32
     tests
    1.29
     examinations
    1.23
     exam
    1.21
     questionnaire
    1.17
     examination
    1.13
     screening
    1.13
     Tests
    1.11
     Examination
    1.09
     Exam
    1.08
    Activations Density 0.265%

    No Known Activations