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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. 3-RES-JB
    11. 16643
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    Explanations

    references to a specific geographical location, particularly Baton Rouge

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly Baton Rouge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arov
    -0.92
    ãĥĩãĤ£
    -0.92
    enegger
    -0.86
    ön
    -0.79
    isphere
    -0.77
    olson
    -0.75
    ischer
    -0.74
    è¦ļéĨĴ
    -0.74
    ramid
    -0.72
    utterstock
    -0.70
    POSITIVE LOGITS
     Rouge
    1.37
    lette
    0.75
     Rac
    0.75
    oute
    0.74
     Parish
    0.74
    anne
    0.73
    velt
    0.71
     Pact
    0.70
    Wing
    0.68
     Royale
    0.67
    Activations Density 0.018%

    No Known Activations