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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20387
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    Explanations

    historical events or significant figures

    oai_token-act-pair · gpt-3.5-turbo

    historical events or references related to timelines

    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
    CEO
    -0.80
     blockers
    -0.80
     rollout
    -0.78
     startup
    -0.73
     blocker
    -0.73
    amacare
    -0.72
     carrots
    -0.72
     Customer
    -0.72
     escal
    -0.70
    compliance
    -0.69
    POSITIVE LOGITS
     historians
    1.71
     historian
    1.54
     histor
    1.53
     chronological
    1.35
     archaeological
    1.34
     Historical
    1.31
     Hist
    1.31
     chron
    1.28
     historical
    1.23
    ibliography
    1.23
    Activations Density 1.304%

    No Known Activations