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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. 20226
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    Explanations

    mentions of real-time data or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to real-time data and applications

    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
     Norris
    -0.67
     Flare
    -0.65
     AVG
    -0.65
     Frazier
    -0.64
     Sigma
    -0.62
     Boe
    -0.62
     SHARES
    -0.61
     Cooke
    -0.61
     Rica
    -0.60
     Perkins
    -0.59
    POSITIVE LOGITS
    estate
    1.55
    life
    1.30
    world
    1.19
    sounding
    1.12
    time
    1.12
    terms
    1.11
    valued
    1.05
    deal
    1.02
    sight
    1.00
    live
    0.98
    Activations Density 0.023%

    No Known Activations