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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. 12-RES-JB
    11. 3177
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    Explanations

    names of individuals and their performances in sporting events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to starting and participation in games or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ikers
    -0.70
    asters
    -0.65
    Original
    -0.65
    âĢ¢âĢ¢
    -0.64
    friends
    -0.64
    ritical
    -0.62
    yssey
    -0.62
    Policy
    -0.62
    CRIPTION
    -0.62
    Property
    -0.62
    POSITIVE LOGITS
     anew
    0.87
     brightly
    0.85
     skating
    0.77
     raining
    0.76
     against
    0.76
     practicing
    0.73
     filling
    0.72
     sparing
    0.72
     cautiously
    0.71
     piling
    0.71
    Activations Density 0.064%

    No Known Activations