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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. 12962
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    Explanations

    phrases related to legal or regulatory contexts

    oai_token-act-pair · gpt-3.5-turbo

    the article "an" in various contexts

    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
    BLE
    -0.81
     scares
    -0.71
     pupils
    -0.70
    hood
    -0.69
     spreads
    -0.69
    Things
    -0.68
     psychiat
    -0.66
    bots
    -0.66
     Wid
    -0.64
    cules
    -0.64
    POSITIVE LOGITS
    abolic
    1.08
    onym
    1.03
    agram
    1.02
    esthetic
    0.93
    cients
    0.92
    alogue
    0.91
    unciation
    0.89
    omal
    0.88
    onymous
    0.88
    ormal
    0.87
    Activations Density 0.268%

    No Known Activations