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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
    11. 2621
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    Explanations

    references to a specific district within a legal or administrative context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific districts within a legal or administrative context

    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
    issan
    -0.79
    ipedia
    -0.78
    fuel
    -0.77
    pload
    -0.73
    obo
    -0.71
    lihood
    -0.71
    racuse
    -0.71
    ocaust
    -0.71
    ossom
    -0.70
    odus
    -0.68
    POSITIVE LOGITS
    rict
    1.02
    wide
    0.83
     superintendent
    0.81
     boundaries
    0.79
     Superintendent
    0.77
    ricting
    0.74
    masters
    0.73
     districts
    0.70
     attorney
    0.69
     magistrate
    0.69
    Activations Density 0.038%

    No Known Activations