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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. 3-RES-JB
    6. 6616
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    INDEX
    Explanations

    phrases or clauses that express an opinion or claim

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "said" followed by punctuation, indicating speech or reported dialogue

    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
    gate
    -0.73
    aval
    -0.65
    olves
    -0.63
    swick
    -0.60
    interstitial
    -0.59
    hei
    -0.58
     cess
    -0.57
     furnace
    -0.55
    ometers
    -0.55
    herent
    -0.54
    POSITIVE LOGITS
     citing
    0.88
     although
    0.86
     albeit
    0.82
     quoting
    0.79
     "â̦
    0.75
     namely
    0.72
     sir
    0.71
     "'
    0.70
     adding
    0.68
     anecd
    0.68
    Activations Density 0.451%

    No Known Activations