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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. 6-RES-JB
    6. 22156
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    INDEX
    Explanations

    words related to significant events or changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant or pivotal moments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Importance

    No Comments

    Negative Logits
    ancies
    -0.83
    ricted
    -0.64
    ictionary
    -0.64
     frequencies
    -0.63
    inately
    -0.63
    pei
    -0.62
     tunnels
    -0.62
     mutated
    -0.61
    artments
    -0.60
     diction
    -0.59
    POSITIVE LOGITS
     whistlebl
    0.80
    atform
    0.79
     breakthrough
    0.72
     Congratulations
    0.72
     milestone
    0.71
     opportunity
    0.69
     Samar
    0.69
     achievement
    0.69
     Syri
    0.67
     liberating
    0.66
    Activations Density 0.233%

    No Known Activations