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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8568
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    INDEX
    Explanations

    instances where actions or outcomes are in relation to specified conditions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating omissions or deficiencies

    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
    sonian
    -0.70
    DIV
    -0.62
    gebra
    -0.61
    CLUD
    -0.54
    reviewed
    -0.54
     Difficulty
    -0.53
    irs
    -0.53
    mission
    -0.52
     Peninsula
    -0.52
    ract
    -0.52
    POSITIVE LOGITS
    when
    2.15
     when
    2.07
     WHEN
    1.75
    When
    1.59
     When
    1.57
     whenever
    1.55
    Whenever
    1.15
     Whenever
    1.10
     during
    0.98
    during
    0.95
    Activations Density 0.323%

    No Known Activations