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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. 461
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    INDEX
    Explanations

    sports-related terms mentioning a team's victory

    oai_token-act-pair · gpt-3.5-turbo

    terms related to winning in sports contexts

    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
    tan
    -0.73
    Else
    -0.73
    assies
    -0.72
    pecially
    -0.72
    asma
    -0.71
    arge
    -0.70
    ODY
    -0.70
    antis
    -0.70
    anium
    -0.68
    oen
    -0.67
    POSITIVE LOGITS
     Defensive
    0.94
     streak
    0.93
     Coach
    0.87
     MVP
    0.84
     Rookie
    0.80
     championships
    0.75
     playoffs
    0.75
     coach
    0.75
    nings
    0.75
     captain
    0.74
    Activations Density 0.050%

    No Known Activations