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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. 13036
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    INDEX
    Explanations

    scientific or factual information mentioned in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate evidence and claims related to investigations

    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
     Achieve
    -0.83
    Effective
    -0.76
    Serv
    -0.72
    agements
    -0.72
    ourses
    -0.67
    Freedom
    -0.66
     Cooldown
    -0.66
    externalActionCode
    -0.65
    oliberal
    -0.65
    rawdownloadcloneembedreportprint
    -0.64
    POSITIVE LOGITS
     circumst
    1.52
    evidence
    1.50
     corrobor
    1.49
    Evidence
    1.43
     evidence
    1.40
     suspicions
    1.39
     conjecture
    1.39
     theories
    1.33
     hypothesis
    1.32
     suspicion
    1.31
    Activations Density 1.275%

    No Known Activations