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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. 134
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    INDEX
    Explanations

    words related to a specific geographical location, possibly a country or region

    oai_token-act-pair · gpt-3.5-turbo

    references to Transnistria

    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
     whit
    -0.75
     Presidents
    -0.71
     oppos
    -0.65
     tampering
    -0.62
     overcl
    -0.62
     Tough
    -0.62
     exped
    -0.61
     elect
    -0.61
     ageing
    -0.59
     acqu
    -0.58
    POSITIVE LOGITS
    ria
    4.70
    rian
    2.40
    rians
    2.22
    rium
    1.62
    rius
    1.57
    rio
    1.52
    riel
    1.50
    ri
    1.40
    rien
    1.38
    rial
    1.35
    Activations Density 0.008%

    No Known Activations