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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. 1-RES-JB
    11. 11585
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    Explanations

    statistical data and information

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uran
    -0.76
    Course
    -0.72
    nee
    -0.72
    anism
    -0.66
    shire
    -0.65
     Clover
    -0.65
     Bhar
    -0.63
     Wonderland
    -0.61
    minent
    -0.61
     Passage
    -0.60
    POSITIVE LOGITS
     stats
    1.17
     Stats
    1.15
    Stats
    1.09
    stats
    0.99
    ynt
    0.99
    Statistics
    0.87
     statistics
    0.82
    oult
    0.76
     metrics
    0.75
    irements
    0.75
    Activations Density 0.010%

    No Known Activations