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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 6631
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    Explanations

    terms related to data analysis and monitoring such as tracking, forecasting, and detecting patterns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data analysis and tracking in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.71
    ãĤ©
    -0.64
    annon
    -0.64
    iban
    -0.63
    awar
    -0.62
    adra
    -0.61
     condem
    -0.61
    ¿½
    -0.61
     mourning
    -0.61
     fellowship
    -0.58
    POSITIVE LOGITS
     accordingly
    1.34
     accurately
    1.30
     differently
    1.05
     beforehand
    1.05
     manually
    1.04
     using
    1.03
     based
    1.02
     automatically
    1.01
     remotely
    0.99
     correctly
    0.99
    Activations Density 0.397%

    No Known Activations