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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21201
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    Explanations

    words starting with the letter 'n' followed by a number, potentially indicating numerical values in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'n'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    single token corresponding to ' n'

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     frank
    -0.63
     slack
    -0.61
     compe
    -0.58
     Remastered
    -0.58
     trophy
    -0.56
     WRITE
    -0.56
     Vaj
    -0.56
     welf
    -0.56
     Quartz
    -0.55
     Shard
    -0.55
    POSITIVE LOGITS
    autical
    1.34
    ativity
    1.34
    ameless
    1.30
    imble
    1.25
    uggets
    1.25
    ectar
    1.23
    anny
    1.17
    ginx
    1.17
    intendo
    1.16
    ukes
    1.16
    Activations Density 0.025%

    No Known Activations