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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. 8-RES-JB
    6. 6033
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    Explanations

    words related to urgency or urgency-related concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to urgency or urgent situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    words
    -0.77
    boards
    -0.71
    board
    -0.71
    fty
    -0.69
    ACP
    -0.68
    Distance
    -0.61
     lobe
    -0.59
     Fey
    -0.58
     Choice
    -0.58
     PAGE
    -0.56
    POSITIVE LOGITS
    undy
    1.19
    atory
    1.01
    urg
    1.01
    lar
    0.96
    itating
    0.92
    nut
    0.89
    nant
    0.86
    gae
    0.84
    itate
    0.84
    itated
    0.82
    Activations Density 0.047%

    No Known Activations