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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. 7342
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    INDEX
    Explanations

    references to significant or impactful events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "massive" indicating significant scale or impact

    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
    yer
    -0.88
    gemony
    -0.71
    lest
    -0.71
    wick
    -0.70
    keeper
    -0.70
    tein
    -0.70
    wich
    -0.70
    alias
    -0.68
    arers
    -0.68
    keepers
    -0.68
    POSITIVE LOGITS
     amounts
    1.08
     earthqu
    0.98
     influx
    0.94
     undertaking
    0.93
     swath
    0.87
     proportions
    0.86
     quantities
    0.84
     chunk
    0.83
     overhaul
    0.83
     disproportion
    0.83
    Activations Density 0.027%

    No Known Activations