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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. 12-RES-JB
    11. 4946
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    INDEX
    Explanations

    discussions and analyses related to sports team performance and potential outcomes

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to sports analysis and predictions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Fax
    -0.79
    ļéĨĴ
    -0.75
    actionDate
    -0.74
    iless
    -0.70
    ãĤ³
    -0.70
    assad
    -0.69
    armac
    -0.69
    chin
    -0.69
    %%%%
    -0.66
    ãĥ©ãĥ³
    -0.65
    POSITIVE LOGITS
     offseason
    1.32
     playoff
    1.31
     teams
    1.31
     rosters
    1.29
     Playoffs
    1.29
     playoffs
    1.29
     preseason
    1.26
     Playoff
    1.24
     postseason
    1.23
     coaches
    1.20
    Activations Density 0.798%

    No Known Activations