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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. 9110
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    INDEX
    Explanations

    mentions of rapid speed, growth, or advancement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to speed and rapid changes

    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
    nil
    -0.75
    warts
    -0.74
    ilts
    -0.74
    monds
    -0.72
    raints
    -0.72
    posed
    -0.71
    wine
    -0.70
    isdom
    -0.70
    »Ĵ
    -0.70
    placed
    -0.69
    POSITIVE LOGITS
     pace
    1.24
     turnaround
    1.20
     progress
    1.18
     progression
    1.16
     paced
    1.12
     growth
    1.09
     advancement
    1.07
     evolution
    1.05
     development
    1.04
     recovery
    1.03
    Activations Density 0.161%

    No Known Activations