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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. 7-RES-JB
    11. 277
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    Explanations

    specific geographic areas or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.97
    inn
    -0.80
    lio
    -0.78
    icial
    -0.75
    enstein
    -0.72
    offer
    -0.69
    士
    -0.68
    artz
    -0.68
    aldi
    -0.67
    estamp
    -0.67
    POSITIVE LOGITS
     area
    0.84
     bounded
    0.83
     surrounding
    0.82
     areas
    0.80
     rug
    0.78
    area
    0.76
     frequ
    0.75
     adjoining
    0.75
     adjacent
    0.75
     malls
    0.73
    Activations Density 0.059%

    No Known Activations