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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. 4-RES-JB
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    Explanations

    proper nouns related to Japanese culture or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

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

    No Comments

    Negative Logits
     Jenner
    -0.83
    illard
    -0.74
     Richards
    -0.72
     wards
    -0.72
     Bills
    -0.70
     Pry
    -0.67
    arations
    -0.66
    town
    -0.66
     Bulg
    -0.66
     Dillon
    -0.66
    POSITIVE LOGITS
    ibaba
    0.90
    imaru
    0.79
    Û
    0.74
    ikawa
    0.74
    =-=-
    0.74
    igslist
    0.73
    ogene
    0.73
    ococ
    0.72
    bach
    0.72
    ItemTracker
    0.71
    Activations Density 0.031%

    No Known Activations