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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. 2-RES-JB
    6. 16602
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to stock market or financial entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.84
    itar
    -0.78
    itous
    -0.78
    lings
    -0.76
    liest
    -0.76
    ysis
    -0.75
    ilib
    -0.72
    abal
    -0.72
    ling
    -0.71
    izers
    -0.70
    POSITIVE LOGITS
    NYSE
    0.93
    atile
    0.81
    CLASSIFIED
    0.80
    ORED
    0.78
    0000000
    0.78
    orsche
    0.77
    æĸ¹
    0.76
    ĸļ
    0.73
    ãĤĤ
    0.73
    代
    0.73
    Activations Density 0.025%

    No Known Activations