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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. 5-RES-JB
    6. 528
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    INDEX
    Explanations

    words related to laps or lapses in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to lapses in attention or memory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Square
    -0.69
     Antar
    -0.64
     Towns
    -0.63
    Square
    -0.62
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.61
    GROUP
    -0.61
     prisoner
    -0.60
    BI
    -0.59
    ISON
    -0.59
     Âł Âł Âł Âł
    -0.58
    POSITIVE LOGITS
    es
    1.05
    apon
    0.86
    imet
    0.86
    lap
    0.83
    atile
    0.83
     laps
    0.82
    esian
    0.81
    pit
    0.81
    isec
    0.81
    lyak
    0.80
    Activations Density 0.013%

    No Known Activations