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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 2799
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    Explanations

    scientific or technical terms related to various fields such as chemistry, politics, meteorology, sports, technology, and criminal behavior

    oai_token-act-pair · gpt-3.5-turbo

    key terms associated with complex topics and entities, particularly in medical, environmental, and social contexts

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

    No Comments

    Negative Logits
    berra
    -0.60
     HuffPost
    -0.58
    ivism
    -0.57
     La
    -0.56
    WAR
    -0.55
    -0.54
    apa
    -0.54
     Tropical
    -0.54
    earch
    -0.54
    lihood
    -0.53
    POSITIVE LOGITS
    '."
    0.62
     selves
    0.60
     cares
    0.60
     itself
    0.59
     lovers
    0.58
     herself
    0.58
     lover
    0.58
    anooga
    0.57
    ModLoader
    0.56
     rul
    0.56
    Activations Density 0.958%

    No Known Activations