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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. 4916
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    INDEX
    Explanations

    details or summaries of various content such as books, games, dates, and technical instructions

    oai_token-act-pair · gpt-3.5-turbo

    aggregated evaluations and overall 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
    Not in Any Lists

    No Comments

    Negative Logits
    eele
    -0.77
    racuse
    -0.69
    trak
    -0.69
    oola
    -0.67
    çīĪ
    -0.66
     vou
    -0.63
     forwarded
    -0.63
    inois
    -0.62
    ivals
    -0.62
    ements
    -0.62
    POSITIVE LOGITS
     Body
    0.63
     Walk
    0.62
     Default
    0.61
    easy
    0.59
    Else
    0.57
    endif
    0.57
     Header
    0.57
    else
    0.56
     SPORTS
    0.56
     Journals
    0.55
    Activations Density 0.395%

    No Known Activations