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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. 9-RES-JB
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    Explanations

    references to geographical locations, specifically villages

    oai_token-act-pair · gpt-3.5-turbo

    references to villages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    henko
    -0.81
    pter
    -0.78
    ï¸
    -0.77
    inventoryQuantity
    -0.75
    nyder
    -0.73
    ueller
    -0.71
    cedes
    -0.70
    ocaust
    -0.70
    vantage
    -0.70
    Topics
    -0.70
    POSITIVE LOGITS
     villages
    0.93
     village
    0.89
     elders
    0.87
    folk
    0.84
     outpost
    0.84
     councils
    0.80
     gardens
    0.80
     kitchens
    0.79
     Shal
    0.79
     Adin
    0.78
    Activations Density 0.036%

    No Known Activations