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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. 8269
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    Explanations

    news headlines including phrases instructing to 'Read more'

    oai_token-act-pair · gpt-3.5-turbo

    phrases and references that indicate significant events or actions in a narrative context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     hooked
    -0.73
     answ
    -0.69
     mosqu
    -0.64
     Cyp
    -0.61
     aggreg
    -0.61
     Balanced
    -0.58
     ingested
    -0.57
     Compact
    -0.57
     hosted
    -0.56
     converted
    -0.56
    POSITIVE LOGITS
    than
    0.90
    prev
    0.78
    inctions
    0.73
    pel
    0.72
    ukong
    0.71
    rug
    0.71
    Fra
    0.70
    haw
    0.70
    Premium
    0.68
    advant
    0.68
    Activations Density 0.054%

    No Known Activations