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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. 16508
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    Explanations

    physical actions or movements described in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    the end of the document or completion cues

    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
    Sources
    -0.65
    conservancy
    -0.62
    Trend
    -0.59
    Prior
    -0.59
    RELATED
    -0.58
    redit
    -0.57
     IOC
    -0.57
    Fact
    -0.57
    iterranean
    -0.57
     Contributions
    -0.56
    POSITIVE LOGITS
     sigh
    1.03
     sighed
    1.00
     glances
    0.98
     trembling
    0.98
     startled
    0.97
     smir
    0.97
     nodded
    0.97
     glanced
    0.95
     grin
    0.95
     grinned
    0.94
    Activations Density 0.683%

    No Known Activations