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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    references to sports teams, particularly the Arizona Cardinals and other Arizona sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to Arizona 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
    fare
    -0.77
    pite
    -0.76
    hirt
    -0.75
    hops
    -0.73
    paces
    -0.73
    eners
    -0.72
    flows
    -0.71
    isters
    -0.69
    ayers
    -0.69
    amins
    -0.68
    POSITIVE LOGITS
     Coyotes
    1.32
     Cardinals
    1.08
     Suns
    1.03
     AZ
    0.90
     Republic
    0.86
    ansas
    0.83
     Wildcats
    0.82
     State
    0.81
     Arizona
    0.76
    Arizona
    0.74
    Activations Density 0.053%

    No Known Activations