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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. 4-RES-JB
    11. 2575
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    Explanations

    information related to football positions and plays

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to player attributes and positions in sports

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

    No Comments

    Negative Logits
     Online
    -0.88
     Funding
    -0.79
    utsch
    -0.78
     Payments
    -0.73
     commem
    -0.71
     Rowling
    -0.69
     Jub
    -0.68
    WARE
    -0.67
     Publishing
    -0.67
     censored
    -0.66
    POSITIVE LOGITS
     athleticism
    1.06
     positional
    1.02
     versatility
    0.93
    efficiency
    0.91
     offensively
    0.90
     situational
    0.87
     scouting
    0.84
     velocity
    0.83
     tempo
    0.83
     rookie
    0.82
    Activations Density 0.674%

    No Known Activations