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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. 9-RES-JB
    11. 3178
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    Explanations

    names of individuals, specifically highlighting Laurence and Bourdain

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals' names, particularly those with the title "Laureate" or similar variations

    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
    istics
    -0.74
    itatively
    -0.69
    sheet
    -0.67
     sidx
    -0.67
    orb
    -0.67
    oration
    -0.66
    ulsive
    -0.66
    osit
    -0.66
    iture
    -0.65
    oresc
    -0.65
    POSITIVE LOGITS
    dain
    0.96
    nce
    0.92
    ¢
    0.90
    nces
    0.89
    cle
    0.89
    cles
    0.85
    atown
    0.81
    gian
    0.79
    ´
    0.79
    ¨
    0.79
    Activations Density 0.093%

    No Known Activations