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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14575
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    Explanations

    text related to categorization and information organization

    oai_token-act-pair · gpt-3.5-turbo

    references to categories and themes in various submissions or posts

    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
    paces
    -0.89
    recy
    -0.75
    Reviewer
    -0.70
    staking
    -0.70
    cuts
    -0.68
    mbuds
    -0.65
    comings
    -0.64
    assi
    -0.64
    arde
    -0.61
    sie
    -0.61
    POSITIVE LOGITS
    inion
    0.61
     rapt
    0.56
     chimpan
    0.56
     grips
    0.56
     dimension
    0.55
     count
    0.55
    ixture
    0.55
     caus
    0.54
     tee
    0.54
     rank
    0.53
    Activations Density 0.255%

    No Known Activations