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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. 12485
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    Explanations

    words related to technology, finance, and cryptocurrency

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and connections in relation to various topics

    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
    ega
    -0.67
    oldemort
    -0.66
    ichita
    -0.62
    â̦.
    -0.62
     Wichita
    -0.57
     Emirates
    -0.57
     Bowling
    -0.56
    Ko
    -0.56
     Dhabi
    -0.56
     Imran
    -0.56
    POSITIVE LOGITS
     related
    0.93
     its
    0.82
     other
    0.79
     associated
    0.72
     ITS
    0.70
     corresponding
    0.69
    GAN
    0.69
     adjoining
    0.68
    other
    0.68
     Related
    0.66
    Activations Density 0.409%

    No Known Activations