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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. 10-RES-JB
    11. 3140
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    Explanations

    phrases related to achievements or statistics in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to player statistics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -1.02
    aminer
    -0.81
    comments
    -0.72
    ebin
    -0.70
    acci
    -0.69
     redistributed
    -0.69
    Politics
    -0.68
    upload
    -0.68
    License
    -0.67
    Application
    -0.66
    POSITIVE LOGITS
     Team
    1.04
     Argentina
    1.03
     Wolver
    1.03
     Lions
    1.01
     Spart
    0.98
     Plymouth
    0.97
     Tigers
    0.96
     Finland
    0.96
     Miami
    0.95
     Syracuse
    0.95
    Activations Density 0.171%

    No Known Activations