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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. 1628
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    INDEX
    Explanations

    mentions of standout performances or exceptional abilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases or concepts related to sports performance and player evaluations

    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
     ®
    -0.91
     leaflets
    -0.73
    orno
    -0.71
     UNESCO
    -0.68
     Lawyers
    -0.66
     postal
    -0.65
     Sites
    -0.65
     Feminist
    -0.65
     Online
    -0.64
     Publication
    -0.64
    POSITIVE LOGITS
     offensively
    1.15
     offseason
    1.14
     rookie
    1.10
     preseason
    1.07
     postseason
    1.05
     rookies
    1.05
     athlet
    1.05
     undrafted
    1.05
     playoff
    1.02
     coaching
    1.02
    Activations Density 1.006%

    No Known Activations