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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. 2216
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    INDEX
    Explanations

    names of specific individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    the name "Booth" in connection to characters or subjects within the text

    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
     reef
    -0.85
     aqu
    -0.79
    ilit
    -0.70
     Nex
    -0.69
    styles
    -0.69
     medic
    -0.68
     chrom
    -0.67
     grass
    -0.67
    aur
    -0.66
     Galile
    -0.66
    POSITIVE LOGITS
     Booth
    3.87
     Brennan
    1.40
     Fletcher
    1.34
     Bauer
    1.27
     Fulton
    1.21
     Blackhawks
    1.19
     Sloan
    1.17
     Hoover
    1.15
     Harding
    1.13
     Prescott
    1.12
    Activations Density 0.056%

    No Known Activations