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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6120
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    Explanations

    specific dates, events, or actions mentioned in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilet
    -0.64
     physiology
    -0.61
     physic
    -0.60
     Divinity
    -0.60
     Eye
    -0.60
     Hyd
    -0.59
     guessing
    -0.58
     Vend
    -0.57
     Everywhere
    -0.56
    ysis
    -0.56
    POSITIVE LOGITS
     resulted
    1.05
     culminated
    1.02
     preceded
    0.96
     fateful
    0.92
     sparked
    0.89
     includes
    0.87
     lasted
    0.87
    amar
    0.87
     accompanies
    0.86
     prompted
    0.85
    Activations Density 0.235%

    No Known Activations