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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. 23171
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    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
    kefeller
    -1.01
     mating
    -0.72
    »Ĵ
    -0.71
     sustainable
    -0.71
    isher
    -0.70
    onite
    -0.70
     aquatic
    -0.70
     nuts
    -0.69
     overboard
    -0.69
     manif
    -0.69
    POSITIVE LOGITS
     Its
    1.01
     Initially
    1.01
     However
    1.00
     Previously
    0.98
     Each
    0.97
     Whilst
    0.97
     Doctors
    0.95
    txt
    0.92
     Firstly
    0.92
     Twice
    0.91
    Activations Density 0.655%

    No Known Activations