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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. 551
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    INDEX
    Explanations

    mentions of tweets

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tweet" and its variations

    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
    vantage
    -0.64
    CLUD
    -0.63
     Gent
    -0.61
    undai
    -0.60
     Brill
    -0.60
     Valkyrie
    -0.60
     Penet
    -0.60
     contracting
    -0.60
     anesthesia
    -0.59
     Myth
    -0.59
    POSITIVE LOGITS
    storms
    1.14
    storm
    1.02
    Tweet
    0.97
     Tweet
    0.95
     hashtag
    0.89
     tweets
    0.88
     "@
    0.87
    weet
    0.85
     hasht
    0.83
     tweet
    0.82
    Activations Density 0.029%

    No Known Activations