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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. 2649
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or organizations

    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
    ghai
    -0.65
     Berk
    -0.61
    hex
    -0.61
    jet
    -0.60
    sect
    -0.59
    staff
    -0.59
    coord
    -0.58
    paying
    -0.57
    artz
    -0.56
    vention
    -0.55
    POSITIVE LOGITS
    OUS
    1.43
    URA
    1.40
     EDITION
    1.40
    HEAD
    1.39
    VILLE
    1.35
    IAN
    1.35
    ING
    1.34
    SHIP
    1.32
    ISH
    1.31
    OOD
    1.30
    Activations Density 0.190%

    No Known Activations