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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. 11-RES-JB
    11. 14626
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    Explanations

    specific time references in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time and scoring events in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.73
    OPLE
    -0.70
     unemploy
    -0.68
    ographies
    -0.67
    usterity
    -0.65
    onymous
    -0.64
     RELE
    -0.61
     subscriptions
    -0.61
    Documents
    -0.61
    ombies
    -0.61
    POSITIVE LOGITS
     halftime
    1.21
     inning
    1.01
     game
    0.97
     overtime
    0.96
     innings
    0.95
     stopp
    0.95
    game
    0.94
     regulation
    0.94
     half
    0.93
    GAME
    0.91
    Activations Density 0.148%

    No Known Activations