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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. 5-RES-JB
    6. 11913
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    azon
    -0.77
    iences
    -0.75
    ciating
    -0.73
    shr
    -0.67
    itory
    -0.67
    bos
    -0.67
    edi
    -0.66
    ween
    -0.66
    uron
    -0.66
    rounded
    -0.64
    POSITIVE LOGITS
     IMAGES
    0.72
     Parables
    0.70
     Rings
    0.68
    é¾
    0.66
     [+
    0.64
     ESV
    0.64
     Ibid
    0.62
     ILCS
    0.62
    BuyableInstoreAndOnline
    0.62
    )].
    0.62
    Activations Density 0.099%

    No Known Activations