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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. 6-RES-JB
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    Explanations

    mentions or references to the sports team "Vikings"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Minnesota Vikings NFL team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.90
    arding
    -0.77
     constitu
    -0.74
    iary
    -0.71
    utterstock
    -0.69
     cir
    -0.68
    iaries
    -0.67
    ureau
    -0.67
    ģĸ
    -0.67
    odynam
    -0.67
    POSITIVE LOGITS
     Vikings
    0.95
    borg
    0.91
     Viking
    0.85
    istani
    0.83
     Polo
    0.76
    lund
    0.75
    mented
    0.73
     Gladiator
    0.72
     Horses
    0.68
     Rover
    0.68
    Activations Density 0.029%

    No Known Activations