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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. 9-RES-JB
    6. 12301
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    Explanations

    phrases indicating honesty or admission of truth

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express honesty and admission

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prus
    -0.70
    und
    -0.66
    ighth
    -0.63
    Fall
    -0.62
    world
    -0.62
    mb
    -0.61
    CONT
    -0.61
    USS
    -0.60
    andel
    -0.59
    åĮ
    -0.59
    POSITIVE LOGITS
     though
    0.76
     admittedly
    0.69
    eno
    0.68
     admit
    0.67
     tho
    0.66
     I
    0.65
    bie
    0.64
    iott
    0.64
    erous
    0.62
     quite
    0.62
    Activations Density 0.061%

    No Known Activations