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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. 8-RES-JB
    6. 9127
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    INDEX
    Explanations

    information related to sports players, teams, and evaluations

    oai_token-act-pair · gpt-3.5-turbo

    key players and their roles within a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sylv
    -0.67
     barr
    -0.67
     foc
    -0.66
     Belg
    -0.66
     scept
    -0.65
     organising
    -0.64
     ®
    -0.62
     NGOs
    -0.62
     umb
    -0.62
     organisers
    -0.62
    POSITIVE LOGITS
    NFL
    1.29
     offseason
    1.28
     quarterback
    1.23
     linebacker
    1.22
     rookie
    1.21
     NFL
    1.18
     cornerback
    1.16
     Rookie
    1.15
     quarterbacks
    1.15
     QB
    1.15
    Activations Density 1.961%

    No Known Activations