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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. 11-RES-JB
    11. 12661
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    Explanations

    phrases related to international locations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to various international airports and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    worldly
    -0.77
    redo
    -0.69
    halla
    -0.68
    lvl
    -0.63
    ierre
    -0.63
    hetti
    -0.63
     hers
    -0.61
    inav
    -0.59
    alach
    -0.59
    kind
    -0.59
    POSITIVE LOGITS
     Airport
    0.83
    istrates
    0.78
     Exhibition
    0.70
     Marathon
    0.68
     Library
    0.67
     School
    0.65
     Intermediate
    0.65
     Hospital
    0.65
     Exchange
    0.64
    vertis
    0.64
    Activations Density 0.203%

    No Known Activations