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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. 0-RES-JB
    11. 1863
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    Explanations

    references to appendices in text

    oai_token-act-pair · gpt-3.5-turbo

    references to appendices in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outgoing
    -0.74
     hairc
    -0.73
     incoming
    -0.69
     turnover
    -0.66
    \":
    -0.65
     hearts
    -0.64
    ieg
    -0.64
     heads
    -0.62
     dyed
    -0.61
     Messi
    -0.61
    POSITIVE LOGITS
    endix
    2.08
     Appendix
    2.05
     appendix
    1.42
    cluded
    1.42
    IS
    0.89
     TAMADRA
    0.81
    onson
    0.80
    advant
    0.79
    lude
    0.74
     Annex
    0.73
    Activations Density 0.005%

    No Known Activations