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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the city of Cincinnati

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Cincinnati 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vana
    -0.78
    lying
    -0.78
    dyl
    -0.76
    ially
    -0.75
    otted
    -0.74
    lied
    -0.73
    INAL
    -0.73
    har
    -0.72
    chieve
    -0.72
    clinton
    -0.72
    POSITIVE LOGITS
     Bengals
    1.23
     Cincinnati
    1.15
    incinn
    0.99
     Reds
    0.97
    incinnati
    0.88
     Bengal
    0.80
    hurst
    0.79
     Zoo
    0.75
     Cardinals
    0.74
    ĸļ
    0.72
    Activations Density 0.008%

    No Known Activations