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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. 3-RES-JB
    11. 150
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    INDEX
    Explanations

    statements made to the media, especially by sports figures

    oai_token-act-pair · gpt-3.5-turbo

    statements and reports involving media interaction and quotes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pes
    -0.92
     Feminist
    -0.84
    Britain
    -0.81
    Privacy
    -0.80
    SPONSORED
    -0.80
    edu
    -0.79
    Virgin
    -0.78
    riet
    -0.78
    byn
    -0.74
    Operation
    -0.73
    POSITIVE LOGITS
     offseason
    1.06
     preseason
    0.94
     injury
    0.94
     scoreboard
    0.92
     coach
    0.92
     spectator
    0.89
     playoff
    0.89
     league
    0.88
     Arena
    0.88
     Playoffs
    0.88
    Activations Density 0.271%

    No Known Activations