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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. 20238
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to medical and psychological conditions

    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
    ographical
    -0.36
    ModLoader
    -0.35
     Pwr
    -0.35
    =-=-
    -0.34
     Seym
    -0.33
    \/\/
    -0.31
     Definition
    -0.31
    sheets
    -0.31
     Marlins
    -0.30
     Arbit
    -0.30
    POSITIVE LOGITS
    lycer
    0.50
    soDeliveryDate
    0.41
     respectively
    0.40
    æĸ¹
    0.40
    ãĥŃ
    0.40
    èĢħ
    0.39
    代
    0.39
    zbek
    0.39
    gins
    0.37
    christ
    0.36
    Activations Density 7.845%

    No Known Activations