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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
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    Explanations

    mentions of the word "Hum" with various numbers following it

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Hum" referring to human characteristics or actions

    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
    hips
    -0.68
     approve
    -0.68
     EntityItem
    -0.67
     ---------
    -0.65
    OHN
    -0.64
     rift
    -0.63
     DARK
    -0.62
     Peaks
    -0.62
    cape
    -0.61
     flagged
    -0.61
    POSITIVE LOGITS
    pty
    1.18
    orously
    1.11
    mers
    1.04
    iday
    1.04
    ility
    1.01
    ulus
    1.00
    ankind
    1.00
    hum
    0.97
    ming
    0.97
    orous
    0.96
    Activations Density 0.007%

    No Known Activations