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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. 9-RES-JB
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    Explanations

    references to activities or events happening during the night

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of nighttime or occurrences happening during the night

    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
    xon
    -0.80
    achev
    -0.79
    utenberg
    -0.74
    rompt
    -0.71
    dinand
    -0.70
     Canaver
    -0.68
    qqa
    -0.67
    qua
    -0.67
    lda
    -0.67
    emort
    -0.64
    POSITIVE LOGITS
    fall
    1.08
    cap
    1.01
    mar
    0.98
    life
    0.89
    mares
    0.89
    stand
    0.79
    light
    0.72
    mare
    0.72
     ow
    0.72
     sky
    0.72
    Activations Density 0.042%

    No Known Activations