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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. 0-RES-JB
    11. 12966
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    Explanations

    references to a specific brand or individual named "Brandi"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subsistence
    -0.74
    ersed
    -0.69
     irregular
    -0.64
     mirrors
    -0.64
     transmitted
    -0.64
     accum
    -0.64
    ily
    -0.63
    ulators
    -0.63
     evasion
    -0.63
    IOR
    -0.63
    POSITIVE LOGITS
     Brand
    3.97
    Brand
    3.08
    brand
    1.87
     Brands
    1.65
     brand
    1.58
     brands
    1.35
     branding
    1.32
     branded
    1.12
     Product
    0.95
     Logo
    0.94
    Activations Density 0.015%

    No Known Activations