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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 8275
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    Explanations

    non-word characters such as special characters and symbols

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bog
    -0.75
     diving
    -0.74
     smelling
    -0.73
     citiz
    -0.73
     hindsight
    -0.70
     retrospect
    -0.70
     hopping
    -0.70
     mas
    -0.70
     ideal
    -0.69
     unm
    -0.69
    POSITIVE LOGITS
    Companies
    0.91
    Econom
    0.89
    PHOTOS
    0.88
    WASHINGTON
    0.84
    TRUMP
    0.83
    Sharp
    0.83
    Consumer
    0.82
    QUI
    0.81
    Still
    0.81
    Correct
    0.80
    Activations Density 0.335%

    No Known Activations