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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. 4-RES-JB
    11. 1316
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    Explanations

    words related to technical specifications like "chassis", "suspension", and "chipset"

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to vehicle components and design

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

    No Comments

    Negative Logits
    tale
    -0.87
    vernment
    -0.85
    shire
    -0.74
    bidden
    -0.72
    bler
    -0.72
    sett
    -0.72
    inel
    -0.71
     Hunger
    -0.71
    doms
    -0.71
    atory
    -0.70
    POSITIVE LOGITS
     chassis
    1.21
    assis
    0.81
     dealership
    0.78
     layout
    0.77
     manufacturers
    0.77
     horsepower
    0.76
     manufacturer
    0.75
     layouts
    0.75
     specifications
    0.75
    Component
    0.75
    Activations Density 0.025%

    No Known Activations