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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21320
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    INDEX
    Explanations

    contractions of "do not" or similar phrases expressing negative sentiment

    oai_token-act-pair · gpt-3.5-turbo

    negations in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artney
    -0.78
    Engineers
    -0.69
    ersed
    -0.68
     Citiz
    -0.67
     Parenthood
    -0.67
    DeliveryDate
    -0.65
     Passage
    -0.63
     Compass
    -0.63
     pione
    -0.62
    atur
    -0.61
    POSITIVE LOGITS
     kidding
    1.03
     necessarily
    0.93
     ashamed
    0.91
     myself
    0.90
     sure
    0.89
     gonna
    0.87
     afraid
    0.86
    oooooooo
    0.84
    hin
    0.83
     believe
    0.81
    Activations Density 0.083%

    No Known Activations