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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. 21012
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    Explanations

    elements related to sports fields or courts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports fields and playing surfaces

    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
    ortium
    -0.78
    oras
    -0.72
    ommod
    -0.66
    laus
    -0.65
     Telesc
    -0.63
     warr
    -0.63
    ĸ
    -0.60
    onal
    -0.59
    ett
    -0.58
    Mine
    -0.58
    POSITIVE LOGITS
    waves
    0.80
     podium
    0.79
    plays
    0.73
    pter
    0.73
    walk
    0.72
    steps
    0.72
    casts
    0.71
    places
    0.70
     tonight
    0.69
    washer
    0.68
    Activations Density 0.191%

    No Known Activations