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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. 13721
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    Explanations

    discussions related to performance in sports

    oai_token-act-pair · gpt-3.5-turbo

    instances of poor performance or mistakes 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
    actionDate
    -0.82
     resettlement
    -0.74
     membership
    -0.74
    soType
    -0.70
     Membership
    -0.70
     Carib
    -0.70
    Ear
    -0.70
     sponsoring
    -0.69
     Saud
    -0.67
    channelAvailability
    -0.65
    POSITIVE LOGITS
     drib
    1.25
     blitz
    1.21
     fou
    1.13
     whiff
    1.12
     defensively
    1.10
     turnovers
    1.07
     fumble
    1.00
     offensively
    0.96
     excel
    0.94
     instinctively
    0.93
    Activations Density 0.264%

    No Known Activations