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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    the word "ritz"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific hotel or location, particularly the Ritz-Carlton

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     occas
    -0.69
    selves
    -0.68
     livest
    -0.64
    cknow
    -0.63
    åŃ
    -0.63
     unden
    -0.63
     warranties
    -0.63
     readable
    -0.62
    ACTED
    -0.62
     exerc
    -0.62
    POSITIVE LOGITS
    gerald
    1.82
    patrick
    1.25
    sch
    1.17
    heimer
    1.04
    enger
    1.02
    mann
    1.01
    arella
    0.99
    hou
    0.99
    enegger
    0.99
    ky
    0.94
    Activations Density 0.046%

    No Known Activations