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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. 19589
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    Explanations

    names and surnames, potentially from various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    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
     gram
    -0.61
     independ
    -0.60
     invention
    -0.58
     daytime
    -0.55
    iliation
    -0.54
     distance
    -0.54
     novelty
    -0.54
     tabs
    -0.53
     object
    -0.53
     NPC
    -0.53
    POSITIVE LOGITS
    ño
    1.05
    heimer
    1.03
    kamp
    0.99
    bilt
    0.97
    tsky
    0.94
    uthor
    0.93
    gaard
    0.91
    haar
    0.91
    hoff
    0.91
    baum
    0.90
    Activations Density 0.308%

    No Known Activations