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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. 6-RES-JB
    11. 10966
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    Explanations

    references to suburban environments

    oai_token-act-pair · gpt-3.5-turbo

    references to suburban areas and environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.98
    gged
    -0.96
    uge
    -0.79
    lda
    -0.78
    uth
    -0.74
    hement
    -0.73
    Lua
    -0.72
    heng
    -0.72
    orthy
    -0.69
    potion
    -0.69
    POSITIVE LOGITS
    ites
    0.95
     malls
    0.92
     mall
    0.82
     neighb
    0.79
     suburb
    0.75
     Borough
    0.75
     suburbs
    0.73
     Mayhem
    0.73
     cram
    0.72
     suburban
    0.71
    Activations Density 0.021%

    No Known Activations