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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. 3-RES-JB
    6. 14542
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    Explanations

    the name "Be"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Be" in various contexts

    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
     firsthand
    -0.73
     totality
    -0.73
    intendent
    -0.69
     resonance
    -0.69
     flare
    -0.67
     partName
    -0.67
     glide
    -0.67
     lapse
    -0.65
    ilver
    -0.64
     pole
    -0.64
    POSITIVE LOGITS
    yond
    1.17
    hemoth
    1.17
    aum
    1.15
    arers
    1.12
    acons
    1.05
    ech
    1.04
    ards
    1.04
    cker
    1.02
    friends
    1.02
    arer
    1.01
    Activations Density 0.024%

    No Known Activations