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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. 18144
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    Explanations

    adjectives referring to quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    sentences highlighting significant information or observations about various topics

    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
     Prices
    -0.67
    ciation
    -0.67
     Dozens
    -0.63
    @#&
    -0.62
     Anon
    -0.62
     Critics
    -0.61
     Highest
    -0.61
     Lover
    -0.60
     Norn
    -0.58
     Limits
    -0.58
    POSITIVE LOGITS
     attributable
    0.96
     concentrated
    0.94
     groundwork
    0.80
     anecdotal
    0.76
     recycled
    0.75
     devoted
    0.75
     centered
    0.73
     focused
    0.73
     memor
    0.72
     attributed
    0.70
    Activations Density 0.264%

    No Known Activations