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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. 10-RES-JB
    6. 15098
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    INDEX
    Explanations

    phrases about common human experiences or traits with a focus on uniqueness

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating possession or existence related to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inth
    -0.82
    Newsletter
    -0.70
    ound
    -0.69
    etting
    -0.69
    live
    -0.68
    edia
    -0.68
    QUI
    -0.68
    ãĤº
    -0.66
    sole
    -0.66
    cise
    -0.65
    POSITIVE LOGITS
     flaws
    0.97
     biases
    0.88
     quirks
    0.87
     weaknesses
    0.84
     faults
    0.83
     differing
    0.83
     varying
    0.83
     precon
    0.82
     strengths
    0.82
     undergone
    0.78
    Activations Density 0.183%

    No Known Activations