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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. 3-RES-JB
    11. 16418
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    Explanations

    words related to extreme emotions or behaviors like craziness and funniness

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of food and humor, particularly focusing on absurdity and quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     immersion
    -0.67
     Maid
    -0.66
     Kush
    -0.66
     healthcare
    -0.65
     Awakening
    -0.63
    HOME
    -0.63
     faith
    -0.62
     takeaway
    -0.62
     communications
    -0.61
     Waters
    -0.61
    POSITIVE LOGITS
    iest
    1.59
    iness
    1.45
    ier
    1.31
    eless
    1.22
    ily
    1.21
    efully
    1.18
    ifying
    1.09
    iers
    1.07
    eful
    1.05
    ific
    1.04
    Activations Density 0.025%

    No Known Activations