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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. 5867
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    Explanations

    mentions of the soccer club "Arsenal" and related terms such as player names and performance indicators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the football club Arsenal and its players

    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
    ribune
    -0.71
    umbn
    -0.69
    ologue
    -0.68
     Guam
    -0.68
     Sasuke
    -0.67
    obe
    -0.65
    raints
    -0.65
    aneously
    -0.65
     Lyft
    -0.64
    asses
    -0.62
    POSITIVE LOGITS
     Wenger
    0.87
    gem
    0.79
    Arsenal
    0.78
    uth
    0.71
    sburg
    0.68
     Stadium
    0.68
     Rahman
    0.68
    yard
    0.68
     Supporters
    0.68
    azor
    0.67
    Activations Density 0.048%

    No Known Activations