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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. 1-RES-JB
    11. 13498
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    Explanations

    references to locations in the San Francisco Bay Area

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Bay Area

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.86
    etsk
    -0.86
    sonian
    -0.82
    odder
    -0.79
    inx
    -0.77
    ulate
    -0.76
    ugu
    -0.75
    én
    -0.75
    kus
    -0.74
    ining
    -0.73
    POSITIVE LOGITS
     Area
    1.26
     Areas
    1.05
    Area
    0.84
     Sina
    0.76
     area
    0.73
     Improvement
    0.68
     Specific
    0.68
     Territory
    0.67
     closures
    0.66
     Canaan
    0.66
    Activations Density 0.009%

    No Known Activations