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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. 0-RES-JB
    11. 1600
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    Explanations

    phrases related to legal districts or offices

    oai_token-act-pair · gpt-3.5-turbo

    references to specific districts, particularly in legal or geographic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     revolutions
    -0.67
     playback
    -0.66
     knees
    -0.65
     knee
    -0.64
     heel
    -0.63
     sonic
    -0.63
     remember
    -0.62
    gger
    -0.61
    fu
    -0.60
    ries
    -0.60
    POSITIVE LOGITS
     District
    3.85
    District
    2.87
     district
    2.57
     DISTRICT
    2.29
     districts
    2.03
     Borough
    1.48
     Province
    1.33
     precinct
    1.31
     Superintendent
    1.30
     Circuit
    1.28
    Activations Density 0.012%

    No Known Activations