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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
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    Explanations

    references to locations, particularly focusing on the state of Massachusetts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Massachusetts in various 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
     glyph
    -0.77
     arte
    -0.76
    hod
    -0.71
     util
    -0.67
    oj
    -0.66
     tong
    -0.66
     dragons
    -0.65
    reci
    -0.64
     Jong
    -0.64
    (_
    -0.64
    POSITIVE LOGITS
     Massachusetts
    3.50
    achusetts
    2.29
     Connecticut
    2.23
     Vermont
    2.08
     Maine
    2.03
     Rhode
    2.00
     Maryland
    1.97
     Pennsylvania
    1.90
     Worcester
    1.89
     Boston
    1.83
    Activations Density 0.011%

    No Known Activations