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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. 10447
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    Explanations

    information or content related to legal documents and texts

    oai_token-act-pair · gpt-3.5-turbo

    referential phrases indicating the presence of a subject in a statement or report

    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
     behav
    -0.67
     Ging
    -0.63
     Antar
    -0.59
     reins
    -0.59
     Meteor
    -0.57
     latter
    -0.56
     thereto
    -0.55
     Tacoma
    -0.55
     later
    -0.55
     Gund
    -0.54
    POSITIVE LOGITS
    [/
    0.91
    resa
    0.78
     [+
    0.72
     guiName
    0.72
    Donald
    0.71
     [/
    0.71
    orem
    0.71
    chieve
    0.70
    auri
    0.69
    ablishment
    0.69
    Activations Density 0.353%

    No Known Activations