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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of the word "Minnesota"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Minnesota and its sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arding
    -0.92
    arded
    -0.88
    ARDS
    -0.79
    pert
    -0.79
    ulator
    -0.73
     Britann
    -0.70
    ynt
    -0.69
    ulators
    -0.68
    oys
    -0.67
     Hussain
    -0.67
    POSITIVE LOGITS
     Timberwolves
    1.22
    Minnesota
    1.10
     Vikings
    1.03
     Dul
    1.02
    nesota
    0.95
     Minnesota
    0.87
     Twins
    0.85
    UFC
    0.82
    ĸļ
    0.81
    waukee
    0.79
    Activations Density 0.033%

    No Known Activations