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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. 11855
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    Explanations

    specific notations or keywords, such as 'Ċ' and numbers that seem to be categorized

    oai_token-act-pair · gpt-3.5-turbo

    specific patterns or structures in enumerated lists or bulleted points

    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
    abouts
    -0.60
     accordingly
    -0.59
    hement
    -0.59
    heet
    -0.57
     heading
    -0.57
     Mad
    -0.56
     thrust
    -0.56
     winding
    -0.55
    cence
    -0.54
     proud
    -0.54
    POSITIVE LOGITS
    âĹı
    1.11
    ·
    0.94
    ³³³³
    0.90
    ³³³
    0.87
    ³³³³³³³³³³³³³³³³
    0.79
    ³³³³³³³³
    0.79
    pmwiki
    0.79
    âĸł
    0.79
    Pear
    0.79
    âĺħ
    0.79
    Activations Density 0.105%

    No Known Activations