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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. 11-RES-JB
    6. 10373
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    INDEX
    Explanations

    scientific and technical terms related to physics, economics, and academia

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rankings and classifications, particularly in a business or competitive context

    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
     diligence
    -0.72
     bureau
    -0.71
     vigilance
    -0.70
     nursing
    -0.70
     forestry
    -0.69
     coffin
    -0.67
     trove
    -0.67
     vigil
    -0.67
     crypt
    -0.66
     reel
    -0.66
    POSITIVE LOGITS
     Ones
    1.16
     Month
    1.12
     Awareness
    1.10
     Ages
    1.10
     Countries
    1.10
     Characters
    1.10
     Meal
    1.08
     Position
    1.08
     Enemy
    1.07
     Replacement
    1.06
    Activations Density 0.497%

    No Known Activations