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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. 2734
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'K'

    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
     celebr
    -0.70
     overflow
    -0.66
     systematic
    -0.64
     laureate
    -0.64
     heads
    -0.63
     tweak
    -0.63
     expires
    -0.62
     contr
    -0.62
     chronological
    -0.61
     thousands
    -0.61
    POSITIVE LOGITS
    orea
    1.32
    udos
    1.31
    atherine
    1.25
    lein
    1.25
    eeper
    1.23
    rieg
    1.21
    athy
    1.17
    icking
    1.17
    orean
    1.16
    ratom
    1.16
    Activations Density 0.041%

    No Known Activations