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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. 9-RES-JB
    11. 14751
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    Explanations

    mentions of locations, especially Indiana and Indianapolis, in relation to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Indiana and its associated sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geoning
    -0.82
    ystem
    -0.78
    affer
    -0.78
    udo
    -0.72
    pees
    -0.72
    jriwal
    -0.70
    footed
    -0.67
    mith
    -0.66
     mathemat
    -0.66
    role
    -0.65
    POSITIVE LOGITS
     Pacers
    1.31
    apolis
    1.08
    urst
    0.91
     Eleven
    0.80
     Jones
    0.77
    ensity
    0.76
    Ohio
    0.76
     Colts
    0.75
     Kear
    0.75
     Yates
    0.74
    Activations Density 0.045%

    No Known Activations