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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. 9-RES-JB
    6. 12892
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    Explanations

    numerical information preceded by the word "About"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify or describe numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CV
    -0.69
    Express
    -0.65
     nob
    -0.63
    ilic
    -0.61
    ffen
    -0.60
    Hol
    -0.58
    umbn
    -0.58
    ohan
    -0.58
    Finish
    -0.57
     RL
    -0.57
    POSITIVE LOGITS
     half
    1.13
    thirds
    1.10
     eighty
    0.97
     800
    0.93
     seventy
    0.92
     dozen
    0.91
     400
    0.90
    half
    0.90
    etheless
    0.89
     80
    0.89
    Activations Density 0.122%

    No Known Activations