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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. 10-RES-JB
    11. 19015
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    Explanations

    information about criminal activities or accidents

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nah
    -0.73
    hare
    -0.70
    abs
    -0.67
    istant
    -0.66
    Being
    -0.64
    anguage
    -0.64
    lux
    -0.61
    bern
    -0.60
     guessing
    -0.60
    SPA
    -0.59
    POSITIVE LOGITS
     culminated
    1.63
     resulted
    1.62
     lasted
    1.49
     occurred
    1.36
     ended
    1.34
     ensued
    1.28
     led
    1.28
     preceded
    1.27
     yielded
    1.26
     prompted
    1.26
    Activations Density 0.162%

    No Known Activations