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

    the word "Aaron"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Aaron."

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.91
    arget
    -0.81
    ById
    -0.78
    rained
    -0.68
    need
    -0.68
    buff
    -0.67
     secretaries
    -0.66
    leading
    -0.65
    rar
    -0.65
     elig
    -0.64
    POSITIVE LOGITS
     Rodgers
    0.97
     Burr
    0.92
     Hernandez
    0.90
    thouse
    0.82
    ides
    0.77
     Fors
    0.77
     Finch
    0.76
     Goodman
    0.76
    anth
    0.75
     Eck
    0.75
    Activations Density 0.026%

    No Known Activations