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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. 9456
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    INDEX
    Explanations

    references to the word "plain"

    oai_token-act-pair · gpt-3.5-turbo

    the concept of simplicity or plainness in various contexts

    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
    otos
    -0.82
    yip
    -0.81
    glomer
    -0.75
    entric
    -0.70
    etheus
    -0.70
     Ascend
    -0.69
    uilt
    -0.69
    ept
    -0.68
    Stud
    -0.68
    interstitial
    -0.67
    POSITIVE LOGITS
    text
    1.15
    plain
    1.01
    rolled
    0.99
    sheet
    0.95
    sheets
    0.94
    cloth
    0.93
     vanilla
    0.91
     plain
    0.87
    ified
    0.85
     ol
    0.83
    Activations Density 0.026%

    No Known Activations