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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. 5247
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    INDEX
    Explanations

    phrases indicating reasoning or explanation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate reasons or justifications

    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
    yss
    -0.85
     ILCS
    -0.79
    chn
    -0.77
    bats
    -0.75
    OLOGY
    -0.73
    chin
    -0.73
    fman
    -0.71
    ps
    -0.70
    hess
    -0.70
    abytes
    -0.70
    POSITIVE LOGITS
     exist
    0.78
     inaction
    0.78
     doubt
    0.75
     hesitation
    0.75
     discrepancy
    0.75
     dispute
    0.74
     why
    0.74
     existence
    0.72
     justify
    0.72
     skepticism
    0.72
    Activations Density 0.099%

    No Known Activations