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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. 7-RES-JB
    11. 18717
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    Explanations

    terms related to sorting, ordering, and instructions on how to perform a series of steps

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions that connect clauses or phrases in technical descriptions or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    CNN
    -0.77
    ogie
    -0.75
    meet
    -0.73
    justice
    -0.71
     Aires
    -0.71
    uits
    -0.71
    busters
    -0.70
    ander
    -0.69
    Today
    -0.68
    odcast
    -0.68
    POSITIVE LOGITS
     optionally
    1.43
     hence
    1.33
     thus
    1.28
     therefore
    1.26
     consequently
    1.25
     thereby
    1.21
     then
    1.12
     thence
    1.08
     secondly
    1.07
     vo
    1.06
    Activations Density 0.407%

    No Known Activations