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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 7993
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    Explanations

    words related to growth or change that indicates an increase in intensity

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "increasingly"

    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
    ua
    -0.66
    !!
    -0.66
    !!!!
    -0.66
    aign
    -0.64
     beforehand
    -0.63
    ibur
    -0.62
    erella
    -0.62
    ^^
    -0.61
    nor
    -0.61
    urn
    -0.60
    POSITIVE LOGITS
     increasingly
    3.32
     progressively
    1.88
    increasing
    1.58
     steadily
    1.55
     overwhelmingly
    1.46
     gradually
    1.39
     rapidly
    1.39
     escalating
    1.38
     increasing
    1.36
     Increasing
    1.30
    Activations Density 0.012%

    No Known Activations