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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. 10-RES-JB
    11. 4934
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    INDEX
    Explanations

    financial and organizational terms related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    elements related to sports team management and player acquisition processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CNN
    -0.82
     HuffPost
    -0.78
     Wem
    -0.76
    sth
    -0.76
     Puzz
    -0.73
    Panel
    -0.71
     Respond
    -0.71
    asin
    -0.70
     Chevron
    -0.69
    etz
    -0.68
    POSITIVE LOGITS
     rosters
    1.56
     rookies
    1.51
     signings
    1.37
     talent
    1.36
     roster
    1.35
     undrafted
    1.29
     championships
    1.28
     careers
    1.25
     salaries
    1.24
     teammates
    1.21
    Activations Density 0.606%

    No Known Activations