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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. 10-RES-JB
    6. 22657
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    Explanations

    words related to health or healing, especially ones related to specific organizations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the term "Well" or its variations, particularly in a context related to trust or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rely
    -0.85
    elist
    -0.74
    âĹ¼
    -0.73
    illac
    -0.70
    ļéĨĴ
    -0.69
    ategory
    -0.68
    emonic
    -0.66
    illary
    -0.65
    esthes
    -0.64
    NetMessage
    -0.62
    POSITIVE LOGITS
     Fargo
    1.25
    esley
    1.24
    mark
    1.05
    spring
    1.04
    marks
    0.95
    ness
    0.94
    come
    0.91
    ington
    0.89
    brook
    0.87
    espie
    0.87
    Activations Density 0.049%

    No Known Activations