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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. 0-RES-JB
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    Explanations

    references to NFL teams, particularly focusing on the Jacksonville Jaguars

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Jacksonville Jaguars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mil
    -0.78
     Micha
    -0.74
     creep
    -0.74
     dairy
    -0.69
     Freak
    -0.68
     Netanyahu
    -0.68
     Milk
    -0.67
     cows
    -0.67
     Mord
    -0.67
     Sor
    -0.67
    POSITIVE LOGITS
     Jacksonville
    3.44
     Jaguars
    2.89
     Jaguar
    1.82
    Jackson
    1.79
     Akron
    1.24
     Jade
    1.23
     Jamaica
    1.19
     Jasper
    1.18
     Portsmouth
    1.17
     Boise
    1.17
    Activations Density 0.039%

    No Known Activations