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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. 6342
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    Explanations

    parts of the text related to physical structures or components of objects, specifically focusing on terms like "chassis," "motherboard," "hull," and "chipset."

    oai_token-act-pair · gpt-3.5-turbo

    references to vehicle components and structures

    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
    tale
    -0.85
    ingo
    -0.80
    atory
    -0.73
    vernment
    -0.72
    bler
    -0.72
    shire
    -0.70
    bidden
    -0.68
    eyed
    -0.67
    rav
    -0.66
    ractions
    -0.66
    POSITIVE LOGITS
     chassis
    1.18
    assis
    0.80
    Component
    0.79
    Attach
    0.76
     dealership
    0.75
     layout
    0.75
     charact
    0.73
     horsepower
    0.72
     manufacturers
    0.72
     layouts
    0.71
    Activations Density 0.015%

    No Known Activations