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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. 6-RES-JB
    11. 13986
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    Explanations

    mentions of time-related words, particularly associated with events coming to an end or reaching a culmination

    oai_token-act-pair · gpt-3.5-turbo

    references to time, specifically related to final stages or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urat
    -0.64
     Burg
    -0.61
    lys
    -0.60
     Specifically
    -0.58
    yers
    -0.57
    Hor
    -0.57
     Jude
    -0.57
     Maxim
    -0.57
    ustomed
    -0.56
     Crusader
    -0.56
    POSITIVE LOGITS
    imester
    0.96
     bidder
    0.84
    views
    0.71
     exams
    0.71
    govtrack
    0.71
    *)
    0.68
     hurdle
    0.66
    isites
    0.65
    ixir
    0.64
    agonist
    0.64
    Activations Density 0.091%

    No Known Activations