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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. 5-RES-JB
    6. 9310
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    INDEX
    Explanations

    proper nouns related to politics or business

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blaz
    -0.75
    ãĥīãĥ©ãĤ´ãĥ³
    -0.73
     TAMADRA
    -0.72
    é»Ĵ
    -0.67
     Shed
    -0.65
    OGR
    -0.64
     DOC
    -0.63
     mosqu
    -0.63
     NX
    -0.62
    olved
    -0.62
    POSITIVE LOGITS
    rial
    1.17
    rian
    1.09
    rine
    1.06
    rator
    1.05
    rum
    1.03
    rations
    1.02
    rative
    1.01
    ria
    1.00
    ri
    0.99
    ris
    0.99
    Activations Density 0.043%

    No Known Activations