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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. 8-RES-JB
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    sports statistics and performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    sports statistics and performance metrics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rily
    -0.76
    wana
    -0.74
    ouri
    -0.74
    enance
    -0.72
    itsch
    -0.71
    opol
    -0.70
    adas
    -0.70
    lace
    -0.69
     "$:/
    -0.69
    prep
    -0.69
    POSITIVE LOGITS
     assists
    1.07
     rebounds
    1.01
     interceptions
    1.00
     steals
    0.93
     assist
    0.78
     touchdowns
    0.78
     interception
    0.78
     steal
    0.77
     turnovers
    0.76
     shy
    0.75
    Activations Density 0.101%

    No Known Activations