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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. 14246
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    INDEX
    Explanations

    references to sports competitions and events

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to sports achievements and competitions

    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
    holes
    -0.74
    ciating
    -0.73
    */(
    -0.70
    variable
    -0.68
    edia
    -0.67
    Types
    -0.67
    forums
    -0.66
    adobe
    -0.66
    zee
    -0.65
    finder
    -0.64
    POSITIVE LOGITS
     victory
    1.53
     appearance
    1.38
     triumph
    1.38
     comeback
    1.35
     win
    1.28
     debut
    1.25
     outing
    1.25
     loss
    1.23
     berth
    1.22
     outburst
    1.21
    Activations Density 0.275%

    No Known Activations