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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. 2-RES-JB
    11. 12086
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    Explanations

    summaries or synopses

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "recap" as related to summarizing events or news

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Trafford
    -0.68
     Wee
    -0.67
     Mustang
    -0.65
    train
    -0.65
     Breed
    -0.61
     marriage
    -0.60
     habitable
    -0.58
    mouth
    -0.56
    erness
    -0.56
    âĢ¢âĢ¢
    -0.56
    POSITIVE LOGITS
     recap
    1.28
    ital
    1.17
    imation
    0.96
     Recap
    0.92
    ilitation
    0.89
    itations
    0.88
    itect
    0.86
    rast
    0.86
    iton
    0.84
    apon
    0.80
    Activations Density 0.008%

    No Known Activations