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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. 13506
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    INDEX
    Explanations

    statements expressing opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    questions related to opinions and perceptions within a group context

    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
    named
    -0.68
    ibrary
    -0.65
     Gutenberg
    -0.65
     666
    -0.65
     Pict
    -0.62
     birthplace
    -0.61
    arthed
    -0.61
     EDITION
    -0.58
    tains
    -0.57
     Header
    -0.57
    POSITIVE LOGITS
     regret
    1.36
     regrets
    1.19
     regretted
    1.14
     disappointed
    1.09
     apologize
    1.07
     feel
    1.06
     remorse
    1.06
     appreciate
    1.05
     apologies
    1.04
     apologise
    1.03
    Activations Density 0.863%

    No Known Activations