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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. 20459
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    Explanations

    mentions of sports playoffs

    oai_token-act-pair · gpt-3.5-turbo

    references to playoff participation in sports

    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
    lev
    -0.77
    station
    -0.76
    mu
    -0.70
    Ly
    -0.69
    lder
    -0.69
    vic
    -0.68
    ether
    -0.67
    erie
    -0.67
    ¿½
    -0.67
    polit
    -0.66
    POSITIVE LOGITS
     playoffs
    0.98
     Playoffs
    0.93
     Finals
    0.85
     MVP
    0.82
     semifinals
    0.81
     Rookie
    0.79
     postseason
    0.77
     goaltender
    0.75
     playoff
    0.75
     goalie
    0.74
    Activations Density 0.009%

    No Known Activations