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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. 11-RES-JB
    6. 19227
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    INDEX
    Explanations

    phrases indicating scrutiny or examination

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "see" indicating observational context or examination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shaw
    -0.68
    inqu
    -0.60
    alach
    -0.57
    verse
    -0.56
    Unknown
    -0.56
    bey
    -0.55
    onte
    -0.55
    pour
    -0.55
    joice
    -0.54
    Torrent
    -0.54
    POSITIVE LOGITS
     if
    1.49
     whether
    1.35
     how
    1.31
     what
    1.16
    whether
    1.09
     whence
    1.04
     firsthand
    1.04
     why
    0.99
     whats
    0.96
     where
    0.94
    Activations Density 0.103%

    No Known Activations