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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. 2022
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation and commas in the text

    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
    stead
    -0.68
    hess
    -0.62
     Almighty
    -0.60
    TON
    -0.59
    ton
    -0.58
     tx
    -0.58
     Tut
    -0.58
     Ack
    -0.57
    egg
    -0.57
     immunity
    -0.57
    POSITIVE LOGITS
    imi
    0.76
    umbnails
    0.66
    ¾
    0.66
    ngth
    0.65
    rahim
    0.65
    imming
    0.64
    ²
    0.63
    etheless
    0.63
    Ķ
    0.63
    ãĤ¦
    0.62
    Activations Density 0.924%

    No Known Activations