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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. 10-RES-JB
    6. 3657
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    INDEX
    Explanations

    references to podcasts, interviews, and media productions

    oai_token-act-pair · gpt-3.5-turbo

    references to podcast episodes and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igslist
    -0.72
    brance
    -0.70
    ativity
    -0.70
     utilitarian
    -0.69
    assault
    -0.68
    otrop
    -0.67
    oufl
    -0.67
    owment
    -0.67
    mop
    -0.67
     altru
    -0.67
    POSITIVE LOGITS
     listener
    1.30
     Topics
    1.28
    Episode
    1.23
     recap
    1.21
     Recap
    1.17
     Episode
    1.16
     Podcast
    1.14
     Tune
    1.13
     listeners
    1.12
    Topics
    1.08
    Activations Density 0.541%

    No Known Activations