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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. 10-RES-JB
    6. 14565
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, especially periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contingency
    -1.00
     consolid
    -1.00
     synerg
    -0.95
     differential
    -0.94
     incremental
    -0.93
     advancing
    -0.93
     disciplines
    -0.92
     consolidated
    -0.92
     migration
    -0.90
     reorgan
    -0.89
    POSITIVE LOGITS
    Redditor
    1.69
    Advertisement
    1.67
    Apparently
    1.59
    Luckily
    1.57
    Scroll
    1.57
    Via
    1.56
    SPONSORED
    1.55
    SEE
    1.52
    Images
    1.48
    Pict
    1.48
    Activations Density 0.515%

    No Known Activations