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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 5756
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    Explanations

    proper nouns, specifically last names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.73
     Stronghold
    -0.66
    crop
    -0.64
    chal
    -0.63
    1920
    -0.63
    76561
    -0.63
     Nightmares
    -0.61
     Flags
    -0.61
    erous
    -0.59
     Dominion
    -0.59
    POSITIVE LOGITS
    herty
    1.03
     Fowler
    0.95
    shire
    0.82
    enhagen
    0.82
    asma
    0.75
    linger
    0.72
    ieri
    0.70
    andom
    0.70
    kson
    0.69
    rites
    0.69
    Activations Density 0.012%

    No Known Activations