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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. 20947
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    Explanations

    tips or steps on personal development and improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal development and self-improvement

    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
     obsc
    -0.68
     rumor
    -0.68
     stopp
    -0.67
    ibrary
    -0.67
    hide
    -0.64
    rium
    -0.63
    Lago
    -0.63
    FactoryReloaded
    -0.62
    enance
    -0.62
     backdrop
    -0.61
    POSITIVE LOGITS
     happier
    1.21
     healthier
    1.17
     productive
    1.15
     successful
    1.12
     smarter
    1.05
     wiser
    1.03
     better
    1.03
     fulfilled
    1.03
    successful
    1.01
     achie
    0.98
    Activations Density 0.415%

    No Known Activations