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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    references to different cities, especially Columbus

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Columbus

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awar
    -0.76
    .>>
    -0.72
    RL
    -0.71
    Tel
    -0.64
    unia
    -0.63
    wave
    -0.61
    hao
    -0.61
    mun
    -0.61
     MP
    -0.61
    /_
    -0.60
    POSITIVE LOGITS
     Columbus
    3.96
    Columb
    2.47
     Toledo
    1.62
     Dayton
    1.62
     Cincinnati
    1.57
     Indianapolis
    1.57
     Cleveland
    1.52
     Akron
    1.52
     Buc
    1.50
     Nashville
    1.46
    Activations Density 0.016%

    No Known Activations