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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. 1223
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    Explanations

    names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    letters or sequences of letters that are heavily featured in context, possibly indicating names or technical terms

    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
     choke
    -0.67
     bearer
    -0.66
     inherit
    -0.65
     shoulders
    -0.64
     toddlers
    -0.62
    abetic
    -0.61
     parcels
    -0.59
     tens
    -0.58
     reneg
    -0.58
     Standing
    -0.57
    POSITIVE LOGITS
    kaya
    0.88
    cially
    0.78
    ãĤ£
    0.77
    tsky
    0.77
    iman
    0.75
    ronics
    0.74
    oren
    0.74
    wagen
    0.72
    ihara
    0.71
    ue
    0.71
    Activations Density 0.301%

    No Known Activations