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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. 10-RES-JB
    11. 6032
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    INDEX
    Explanations

    references to sports events and competitions, specifically the Pro Bowl

    oai_token-act-pair · gpt-3.5-turbo

    references to the Pro Bowl and its associated rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.73
    soever
    -0.72
     straw
    -0.70
     halls
    -0.67
     spoon
    -0.64
     Remastered
    -0.62
    ELF
    -0.61
     ow
    -0.61
     blindness
    -0.61
     specificity
    -0.61
    POSITIVE LOGITS
    digy
    1.60
    posal
    1.40
    gression
    1.37
    verbs
    1.32
    clamation
    1.26
    gres
    1.25
    secution
    1.25
    ducers
    1.24
    blems
    1.19
    portion
    1.19
    Activations Density 0.019%

    No Known Activations