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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. 0-RES-JB
    11. 15558
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    Explanations

    adjectives related to severity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing severity or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.79
     Airways
    -0.70
     Transport
    -0.67
    ually
    -0.66
    omatic
    -0.66
    gin
    -0.65
    ake
    -0.65
     owns
    -0.65
    up
    -0.62
    Entity
    -0.62
    POSITIVE LOGITS
     harsh
    3.50
     harsher
    2.54
     hars
    2.32
     harshly
    1.89
     cruel
    1.66
     scathing
    1.43
     brutal
    1.40
     unfor
    1.39
     tough
    1.37
     bitter
    1.36
    Activations Density 0.026%

    No Known Activations