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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. 3415
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    INDEX
    Explanations

    sports-related terms and team names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and their performance

    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
    ilib
    -0.67
     Tas
    -0.61
     Surve
    -0.60
    Alice
    -0.60
     TRAN
    -0.57
    romy
    -0.57
    chin
    -0.56
     Lis
    -0.55
    compan
    -0.54
    Sov
    -0.54
    POSITIVE LOGITS
     playoff
    1.39
     jerseys
    1.37
     playoffs
    1.32
     postseason
    1.31
     Playoff
    1.27
     Playoffs
    1.24
     offseason
    1.21
     preseason
    1.15
     stadium
    1.14
     hockey
    1.13
    Activations Density 0.816%

    No Known Activations