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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. 7-RES-JB
    11. 7935
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    INDEX
    Explanations

    references to sports games or matches

    oai_token-act-pair · gpt-3.5-turbo

    references to specific teams or opponents in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     :-)
    -0.72
    chu
    -0.70
    aji
    -0.68
    heit
    -0.68
    onse
    -0.67
    ÅĤ
    -0.67
    hari
    -0.66
     emphas
    -0.66
     Emin
    -0.65
    ée
    -0.64
    POSITIVE LOGITS
     playoffs
    1.27
     league
    1.24
     postseason
    1.21
     offseason
    1.15
     NCAA
    1.05
     preseason
    1.05
     aforementioned
    1.04
     Playoffs
    1.03
     Giants
    1.01
     scoreboard
    1.00
    Activations Density 0.558%

    No Known Activations