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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. 10-RES-JB
    6. 15763
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    Explanations

    adjectives denoting a level of intensity or extremity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "mild" qualities or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alyst
    -0.65
    andise
    -0.61
     Kirin
    -0.61
    ourced
    -0.61
    hedral
    -0.61
     Horizon
    -0.61
     Yue
    -0.60
    thia
    -0.57
     Chung
    -0.57
    tical
    -0.56
    POSITIVE LOGITS
    ew
    1.12
    er
    0.96
    atures
    0.87
    enstein
    0.85
    erers
    0.83
    ering
    0.79
    hello
    0.77
    ered
    0.76
    reth
    0.72
    ers
    0.70
    Activations Density 0.052%

    No Known Activations