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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. 3-RES-JB
    11. 22675
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    Explanations

    words related to sports championships and competitions, particularly the World Series and Stanley Cup

    oai_token-act-pair · gpt-3.5-turbo

    references to major sports championships, specifically the World Series and Stanley Cup

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axis
    -0.87
    tan
    -0.78
    STER
    -0.76
    mentioned
    -0.75
    details
    -0.75
    roup
    -0.75
    respond
    -0.73
    scan
    -0.72
    Ly
    -0.71
     scanners
    -0.71
    POSITIVE LOGITS
     Playoff
    1.26
     Playoffs
    1.16
     playoffs
    1.08
     Finals
    1.07
     MVP
    1.05
     Trophy
    1.04
     Rookie
    1.03
     playoff
    0.99
     postseason
    0.90
     Quarter
    0.90
    Activations Density 0.068%

    No Known Activations