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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. 3-RES-JB
    6. 18918
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Qiao
    -0.80
     Flavoring
    -0.79
    aughs
    -0.77
    èª
    -0.71
    IBLE
    -0.70
    anyon
    -0.70
    estial
    -0.68
    ãĤ¼ãĤ¦ãĤ¹
    -0.67
    ãĤ¤ãĥĪ
    -0.66
    BILITY
    -0.64
    POSITIVE LOGITS
    gres
    1.20
    greSQL
    1.16
    mortem
    0.99
    erity
    0.97
    doctoral
    0.96
    traumatic
    0.89
    modern
    0.88
    cards
    0.84
    natal
    0.83
    hum
    0.80
    Activations Density 0.023%

    No Known Activations