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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. 0-RES-JB
    6. 14248
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    Explanations

    words related to recognition or honor

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "John" and variations of its spelling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tube
    -0.76
     Tube
    -0.75
     needles
    -0.75
    20439
    -0.75
     panicked
    -0.74
     blob
    -0.71
     Panic
    -0.70
     chunks
    -0.70
     tube
    -0.70
     dense
    -0.69
    POSITIVE LOGITS
    hon
    3.60
     Honor
    3.11
    Hon
    2.87
     Honour
    2.26
     honor
    2.24
     honour
    2.14
     honorable
    2.06
     dishon
    1.95
     Hon
    1.86
     honors
    1.77
    Activations Density 0.024%

    No Known Activations