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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. 12-RES-JB
    11. 2990
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    Explanations

    specific names of sports players

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to a specific individual named Gian

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ;;;;;;;;;;;;
    -0.73
    ress
    -0.68
    unia
    -0.64
    erton
    -0.62
     Bees
    -0.62
     Seas
    -0.61
    uty
    -0.59
    bers
    -0.59
     Monarch
    -0.59
    ı
    -0.59
    POSITIVE LOGITS
    car
    0.94
    c
    0.88
    f
    0.86
    nell
    0.85
    etheless
    0.83
    cin
    0.81
    ni
    0.81
    nir
    0.79
    ciating
    0.79
    nis
    0.76
    Activations Density 0.249%

    No Known Activations