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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. 21648
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    Explanations

    references to memorabilia or official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to memories and memoranda

    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
    wing
    -0.70
    pring
    -0.65
    wings
    -0.65
    DF
    -0.63
    pressure
    -0.63
     Pill
    -0.63
    atform
    -0.62
    azo
    -0.61
    Ïģ
    -0.60
    Rich
    -0.60
    POSITIVE LOGITS
     memor
    4.24
     Memor
    2.51
     memorandum
    1.20
     recite
    1.19
     memos
    1.12
     remem
    1.08
     souven
    1.02
     rele
    0.97
     remembering
    0.96
     scrib
    0.94
    Activations Density 0.015%

    No Known Activations