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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. 8-RES-JB
    6. 4450
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and statistical information related to sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WordPress
    -0.57
    iannopoulos
    -0.53
     unparalleled
    -0.53
     shale
    -0.52
     fracking
    -0.50
     spew
    -0.49
     relatively
    -0.48
     nonviolent
    -0.48
     safely
    -0.48
     benchmark
    -0.48
    POSITIVE LOGITS
    /-
    0.75
     Ago
    0.68
     denotes
    0.68
    _>
    0.68
    quished
    0.67
    cellaneous
    0.65
    ãĤ´ãĥ³
    0.65
    ?]
    0.62
     Leilan
    0.62
     ?)
    0.61
    Activations Density 0.948%

    No Known Activations