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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8989
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    INDEX
    Explanations

    phrases related to specific time periods, like "offseason"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "offseason" in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cro
    -0.77
    ourke
    -0.75
    ess
    -0.74
    eness
    -0.73
    sem
    -0.73
    bar
    -0.73
    thood
    -0.73
    colo
    -0.73
    uv
    -0.71
    rar
    -0.69
    POSITIVE LOGITS
     workouts
    1.06
     acquisitions
    1.02
     signings
    0.92
     workout
    0.89
     acquisition
    0.85
     offseason
    0.84
     departures
    0.82
     blockbuster
    0.82
     surgeries
    0.77
     exercises
    0.77
    Activations Density 0.034%

    No Known Activations