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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. 11-RES-JB
    11. 5942
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    Explanations

    actions related to physical movement

    oai_token-act-pair · gpt-3.5-turbo

    actions related to physical confrontation or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regate
    -0.57
     accredited
    -0.56
    Sources
    -0.55
     quotas
    -0.54
    Campaign
    -0.54
    Fact
    -0.54
     outsourcing
    -0.54
     multim
    -0.53
    udget
    -0.53
    Trend
    -0.53
    POSITIVE LOGITS
     glared
    0.90
     trembling
    0.87
     glanced
    0.85
     moaning
    0.83
     sighed
    0.82
     startled
    0.82
     weeping
    0.82
     stared
    0.81
     Hermione
    0.81
     grinning
    0.80
    Activations Density 0.568%

    No Known Activations