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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. 4-RES-JB
    11. 730
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    INDEX
    Explanations

    references to being awake or waking up

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to awareness and awakening

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

    No Comments

    Negative Logits
    ietal
    -0.77
    berman
    -0.77
    ogun
    -0.76
    osa
    -0.73
    ially
    -0.72
    hett
    -0.71
    osal
    -0.70
    ball
    -0.69
    etary
    -0.66
    cas
    -0.66
    POSITIVE LOGITS
    mares
    0.76
     awaken
    0.72
    wake
    0.71
     refreshed
    0.69
     awakened
    0.69
     awake
    0.67
    unda
    0.67
    mare
    0.67
     awoke
    0.67
     Eyes
    0.67
    Activations Density 0.013%

    No Known Activations