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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. 2-RES-JB
    11. 861
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    Explanations

    the syllable "Hum" within words

    oai_token-act-pair · gpt-4-turbo

    words related to the concept of "humans"

    oai_token-act-pair · gpt-3.5-turbo

    references to humor or instances where humor is involved

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAFT
    -0.69
    ECTION
    -0.68
     approve
    -0.68
     EntityItem
    -0.66
     Peaks
    -0.66
     "+
    -0.62
    hips
    -0.62
     ---------
    -0.61
     AVG
    -0.60
    ãĤ´ãĥ³
    -0.60
    POSITIVE LOGITS
     Hum
    1.08
    pty
    1.00
    iday
    0.98
    ility
    0.97
    hum
    0.97
    orously
    0.94
    ankind
    0.92
    Hum
    0.92
    mers
    0.91
    ouri
    0.89
    Activations Density 0.008%

    No Known Activations