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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. 11-RES-JB
    6. 8807
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    Explanations

    quantitative comparisons or quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "more" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Prediction
    -0.71
     Everywhere
    -0.67
     wherever
    -0.63
     Thomson
    -0.60
    uca
    -0.60
    Eye
    -0.60
    OX
    -0.58
     Evening
    -0.58
    xtap
    -0.57
    selves
    -0.57
    POSITIVE LOGITS
     than
    1.39
    than
    1.13
     mundane
    1.02
     stringent
    1.02
     recent
    0.98
     affluent
    0.97
     advanced
    0.97
     esoteric
    0.94
     sophisticated
    0.93
     obscure
    0.91
    Activations Density 0.092%

    No Known Activations