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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. 10322
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    Explanations

    mentions of real-time activities or data in a technological context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to real-time data and its applications

    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
     Rica
    -0.74
     Norris
    -0.72
     AVG
    -0.71
     Cooke
    -0.71
     Moreno
    -0.69
     Frazier
    -0.68
     Phelps
    -0.64
     Coch
    -0.63
     Maurice
    -0.61
     Dawkins
    -0.61
    POSITIVE LOGITS
    estate
    1.48
    world
    1.13
    life
    1.12
    terms
    1.08
    sounding
    1.04
    time
    1.01
    sight
    0.98
    sense
    0.98
    live
    0.97
    science
    0.97
    Activations Density 0.031%

    No Known Activations