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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. 7-RES-JB
    6. 6605
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    Explanations

    words related to decision-making or judgment

    oai_token-act-pair · gpt-3.5-turbo

    nouns and concepts related to responsibilities, dilemmas, and challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    poon
    -0.72
    vez
    -0.65
    Eva
    -0.64
    otonin
    -0.63
    cill
    -0.59
    vic
    -0.58
    urses
    -0.58
    cot
    -0.58
     Prix
    -0.57
    GBT
    -0.57
    POSITIVE LOGITS
     varies
    0.89
     remains
    0.75
     is
    0.74
     isn
    0.73
     arises
    0.72
     differs
    0.71
     seemed
    0.71
     hasn
    0.70
     seems
    0.70
     implication
    0.69
    Activations Density 0.347%

    No Known Activations