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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
    11. 21833
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    Explanations

    verbs related to growth, creation, or advancement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "develop" in various contexts

    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
    que
    -0.80
    pir
    -0.70
    wait
    -0.69
    lua
    -0.68
    nea
    -0.65
    knife
    -0.64
    wa
    -0.64
    76561
    -0.62
    cise
    -0.61
     Fla
    -0.60
    POSITIVE LOGITS
     develops
    0.92
    icter
    0.89
    irtual
    0.83
    mental
    0.82
    developed
    0.81
    Development
    0.80
    ement
    0.78
     develop
    0.78
    Develop
    0.77
    ments
    0.77
    Activations Density 0.013%

    No Known Activations