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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. 8-RES-JB
    11. 17131
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    Explanations

    phrases related to light and physics concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to light, waves, and external factors affecting conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roose
    -0.75
    !:
    -0.69
     nomine
    -0.67
     Invention
    -0.67
     Transparency
    -0.66
     <@
    -0.63
     Canaver
    -0.63
    FontSize
    -0.62
    :,
    -0.61
    fitting
    -0.60
    POSITIVE LOGITS
     reside
    0.92
     fail
    0.79
     resonate
    0.78
     intersect
    0.76
     suddenly
    0.76
    cule
    0.75
     originate
    0.73
     converge
    0.72
     outweigh
    0.72
     dictate
    0.72
    Activations Density 0.855%

    No Known Activations