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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. 10-RES-JB
    11. 5630
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    INDEX
    Explanations

    numerical ratings or grades

    oai_token-act-pair · gpt-3.5-turbo

    elements related to ratings and evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.77
    iframe
    -0.75
    pora
    -0.72
     untold
    -0.66
     ageing
    -0.64
    nown
    -0.62
     Lobby
    -0.61
     mobil
    -0.60
     timing
    -0.59
     mobilization
    -0.58
    POSITIVE LOGITS
     rating
    1.23
    Grade
    1.10
    Score
    1.10
     grade
    1.08
     Rating
    1.07
     Ratings
    1.07
     grades
    1.07
     ratings
    1.04
     Scores
    1.03
     Score
    1.03
    Activations Density 0.274%

    No Known Activations