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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. 3-RES-JB
    11. 9440
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    Explanations

    locations or places, particularly in India, that include Bengaluru and Karnataka

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographic locations, specifically in India

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -1.05
    mble
    -0.93
    ynt
    -0.78
    ettings
    -0.68
    ipple
    -0.67
     Kessler
    -0.67
    POS
    -0.65
    =-=-=-=-
    -0.64
    endez
    -0.64
    Roberts
    -0.64
    POSITIVE LOGITS
    uru
    1.15
     Bengal
    0.94
     tigers
    0.87
    ataka
    0.84
    icum
    0.84
    wings
    0.84
     Pradesh
    0.78
     Nadu
    0.75
     tiger
    0.73
    ²¾
    0.72
    Activations Density 0.003%

    No Known Activations