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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. 8-RES-JB
    11. 9852
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    Explanations

    words related to systems, programs, practices, and devices

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to systems, programs, and practices in technology and organizational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Verse
    -0.69
     sqor
    -0.68
    èª
    -0.64
    sbm
    -0.64
    Narr
    -0.62
     Temper
    -0.62
     Decl
    -0.61
    ilaterally
    -0.60
     Glory
    -0.60
    ween
    -0.60
    POSITIVE LOGITS
    mable
    0.87
     operated
    0.85
     operates
    0.78
     operator
    0.73
     pioneered
    0.72
     itself
    0.70
     exists
    0.70
    washer
    0.70
     enabled
    0.70
     entails
    0.69
    Activations Density 0.367%

    No Known Activations