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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. 14215
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    Explanations

    words related to sports competitions and tournaments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitions and tournaments

    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
     convictions
    -0.66
    background
    -0.63
    enhagen
    -0.60
    paren
    -0.60
    spe
    -0.60
    onom
    -0.60
     caves
    -0.58
     neut
    -0.58
     unpop
    -0.58
     aggress
    -0.57
    POSITIVE LOGITS
    hower
    1.00
     Lauder
    0.85
    terday
    0.85
    DragonMagazine
    0.78
    ãĤ´ãĥ³
    0.78
    naire
    0.75
    âĶĢâĶĢâĶĢâĶĢ
    0.74
    theless
    0.74
     thereof
    0.71
    enance
    0.71
    Activations Density 0.152%

    No Known Activations