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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to bodies of water

    oai_token-act-pair · gpt-3.5-turbo

    references to bodies of water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.85
    Failure
    -0.77
    Rated
    -0.75
    Brand
    -0.73
    VP
    -0.68
    Files
    -0.67
    Interstitial
    -0.64
    ======
    -0.64
    RON
    -0.64
    urated
    -0.63
    POSITIVE LOGITS
    melon
    1.21
    waters
    1.00
     waters
    0.96
    colour
    0.94
    keeper
    0.90
    ports
    0.89
    rigan
    0.89
    hip
    0.85
    hops
    0.82
    front
    0.82
    Activations Density 0.013%

    No Known Activations