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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14603
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    Explanations

    phrases related to technical specifications and settings

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data and statistics

    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
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    No Comments

    Negative Logits
     cla
    -0.64
     Ellis
    -0.62
     tranquil
    -0.61
     advis
    -0.59
     pests
    -0.59
     mistrust
    -0.58
    heit
    -0.57
    lah
    -0.57
     seism
    -0.56
    Quantity
    -0.56
    POSITIVE LOGITS
    peat
    0.81
    GHz
    0.76
    byte
    0.74
     OD
    0.74
    rencies
    0.73
    dimensional
    0.72
    iev
    0.72
    bsp
    0.69
    idon
    0.68
    ateral
    0.68
    Activations Density 0.214%

    No Known Activations