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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. 10-RES-JB
    11. 19043
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    INDEX
    Explanations

    mentions of negative sentiments or criticism

    oai_token-act-pair · gpt-3.5-turbo

    requests for information or updates from a group or community

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ÂŃ
    -0.75
    ablish
    -0.66
     paved
    -0.58
    fitted
    -0.58
    ½
    -0.57
     strengthening
    -0.57
     soaring
    -0.57
     rugged
    -0.56
     toug
    -0.56
    heny
    -0.56
    POSITIVE LOGITS
     reddit
    1.45
     Reddit
    1.24
    reddit
    1.21
     subreddit
    1.21
     Forums
    1.17
    Reddit
    1.16
     subreddits
    1.16
     Patreon
    1.13
     twitter
    1.12
     admins
    1.11
    Activations Density 1.066%

    No Known Activations