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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. 14549
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    INDEX
    Explanations

    the pronoun "it" when mentioned with varying levels of importance

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific subject or topic that is being discussed

    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
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.61
    mobile
    -0.60
    Band
    -0.58
    pta
    -0.58
    idth
    -0.58
    rams
    -0.58
     Passenger
    -0.58
    ready
    -0.57
     Car
    -0.57
     Herrera
    -0.56
    POSITIVE LOGITS
    alian
    1.10
    chy
    1.03
    self
    1.02
    ueller
    0.93
    unes
    0.90
    atic
    0.87
    atical
    0.80
    displayText
    0.78
     happening
    0.77
     tremend
    0.77
    Activations Density 0.180%

    No Known Activations