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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. 14728
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    oai_token-act-pair · gpt-3.5-turbo

    references to honors and accolades

    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
     Apocalypse
    -0.70
     Panther
    -0.69
     Zot
    -0.68
     Annotations
    -0.68
     Barbarian
    -0.67
    phrine
    -0.67
     Printed
    -0.66
     Bernstein
    -0.66
     Panic
    -0.66
     Clicker
    -0.64
    POSITIVE LOGITS
    olulu
    1.38
    orable
    1.33
    eous
    1.22
    esty
    1.16
    anced
    1.03
    enge
    0.95
    ouri
    0.95
    eteenth
    0.93
    oring
    0.93
    ably
    0.92
    Activations Density 0.014%

    No Known Activations