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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. 1-RES-JB
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    Explanations

    adjectives related to humor, intensity, or attractiveness

    oai_token-act-pair · gpt-3.5-turbo

    words related to humor and evaluations of things as funny or unfunny

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Constant
    -0.75
     Maid
    -0.72
     Griffith
    -0.71
    TON
    -0.70
     Kush
    -0.68
     Welsh
    -0.67
    ACT
    -0.66
     Roman
    -0.65
     Arabian
    -0.64
     Ib
    -0.64
    POSITIVE LOGITS
    iest
    1.49
    ier
    1.25
    iness
    1.23
    eness
    1.10
    elling
    1.01
    eless
    1.00
    ifying
    0.99
    ily
    0.99
    iers
    0.95
    lest
    0.94
    Activations Density 0.017%

    No Known Activations