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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. 4-RES-JB
    6. 18773
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or people within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    20439
    -0.78
    ©¶æ
    -0.67
     rainbow
    -0.64
     greenhouse
    -0.62
     guiActiveUn
    -0.62
    ²¾
    -0.62
    {{
    -0.62
    è¦ļéĨĴ
    -0.60
     guiName
    -0.59
     curve
    -0.59
    POSITIVE LOGITS
    LP
    0.80
    )'
    0.75
    liest
    0.59
    cffff
    0.59
     Shib
    0.58
     extraord
    0.57
    )=
    0.56
     Byte
    0.56
    ling
    0.56
    cluding
    0.55
    Activations Density 0.722%

    No Known Activations