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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
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    Explanations

    references to sports offseasons

    oai_token-act-pair · gpt-3.5-turbo

    references to the "offseason" 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
    ess
    -0.87
    enth
    -0.79
    eq
    -0.76
    PLA
    -0.76
    lessness
    -0.74
    akin
    -0.74
    tap
    -0.72
    eh
    -0.71
    lessly
    -0.71
    ecast
    -0.70
    POSITIVE LOGITS
     offseason
    0.96
     acquisitions
    0.82
     weekend
    0.78
     workouts
    0.77
     weekends
    0.76
     seasons
    0.75
     season
    0.74
     mornings
    0.71
     turnover
    0.70
     kickoff
    0.70
    Activations Density 0.008%

    No Known Activations