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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. 0-RES-JB
    6. 5462
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    INDEX
    Explanations

    distinguishing terms related to specific events or settings called "Round"

    oai_token-act-pair · gpt-3.5-turbo

    references to rounds or series of events, likely in a competitive or structured context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.82
    itability
    -0.65
     disav
    -0.64
    lov
    -0.64
     experien
    -0.63
     cop
    -0.63
    artifacts
    -0.62
     dele
    -0.62
     attribut
    -0.62
     sensit
    -0.61
    POSITIVE LOGITS
     Round
    3.90
    Round
    3.21
     Rounds
    2.35
     round
    2.17
    round
    1.88
     rounds
    1.72
     Quarter
    1.27
     Roundup
    1.10
    rounder
    1.09
     Semi
    1.08
    Activations Density 0.010%

    No Known Activations