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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. 14179
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    INDEX
    Explanations

    phrases related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    negation or conditional phrases 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
     respectively
    -0.71
     thereto
    -0.62
     ..."
    -0.60
     â̦"
    -0.59
    .","
    -0.57
     thereof
    -0.56
    Ïī
    -0.53
     prest
    -0.52
     etc
    -0.52
    ÏĢ
    -0.51
    POSITIVE LOGITS
    resa
    1.06
    odore
    0.94
    xiety
    0.84
    notations
    0.69
    romeda
    0.67
    swers
    0.67
    mosp
    0.65
    zbollah
    0.62
    withstanding
    0.62
    bidden
    0.61
    Activations Density 0.755%

    No Known Activations