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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. 21750
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    INDEX
    Explanations

    mentions of decline, whether it be in numbers, trends, or various industries

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to economic and social declines

    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
    ":[{"
    -0.70
    atari
    -0.68
    archives
    -0.66
    ãĤ±
    -0.65
    andise
    -0.64
    £ı
    -0.63
    rera
    -0.61
    rious
    -0.61
    azor
    -0.61
    Redditor
    -0.61
    POSITIVE LOGITS
     precip
    1.05
    luster
    0.89
     rates
    0.85
    lust
    0.84
     rate
    0.83
     Rates
    0.80
     miser
    0.80
     steadily
    0.79
     sharply
    0.77
     viewership
    0.75
    Activations Density 0.082%

    No Known Activations