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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. 11-RES-JB
    11. 24511
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    INDEX
    Explanations

    phrases related to sports statistics and performance

    oai_token-act-pair · gpt-3.5-turbo

    references to sports seasons and statistics

    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
    let
    -0.73
     RELE
    -0.66
    iq
    -0.65
    think
    -0.65
    nn
    -0.63
    fair
    -0.63
    thood
    -0.63
    members
    -0.63
    well
    -0.62
    lets
    -0.62
    POSITIVE LOGITS
     heels
    0.99
     verge
    0.92
     scoreboard
    0.91
     doorstep
    0.90
     bounce
    0.84
     brink
    0.83
     eve
    0.81
     horizon
    0.75
     sidelines
    0.73
     ground
    0.72
    Activations Density 0.085%

    No Known Activations