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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. 2559
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    Explanations

    phrases related to traffic and infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    elements related to policies and regulations

    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
    OGR
    -0.66
     Whilst
    -0.66
    Present
    -0.64
    Contents
    -0.64
    gement
    -0.63
    Dialogue
    -0.62
    Therefore
    -0.60
    Relations
    -0.59
     whilst
    -0.59
    endar
    -0.59
    POSITIVE LOGITS
     cheaper
    0.99
     pricey
    0.94
     smarter
    0.85
     subsidized
    0.80
     healthier
    0.78
     moms
    0.78
     pric
    0.78
     taxpayers
    0.77
     cheapest
    0.74
     $
    0.74
    Activations Density 0.956%

    No Known Activations