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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. 11-RES-JB
    6. 18900
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names or titles of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exceptions
    -0.74
     circuits
    -0.65
     poles
    -0.61
     nons
    -0.61
     mainline
    -0.60
     tracts
    -0.60
     loopholes
    -0.60
     certainty
    -0.58
     necessities
    -0.58
     criminals
    -0.58
    POSITIVE LOGITS
    i
    1.93
    a
    1.87
    aan
    1.59
    e
    1.56
    eh
    1.52
    icz
    1.50
    iya
    1.48
    aq
    1.47
    oi
    1.46
    o
    1.46
    Activations Density 0.307%

    No Known Activations