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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. 5-RES-JB
    6. 4543
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    Explanations

    mentions of the name "Mike" alongside various contexts and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Mike."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    istics
    -0.88
    itect
    -0.79
    ought
    -0.77
    uated
    -0.77
     evid
    -0.69
    ASED
    -0.67
     glim
    -0.66
     CBI
    -0.66
    icity
    -0.65
    istically
    -0.64
    POSITIVE LOGITS
     Tyson
    1.03
     Huckabee
    0.91
     Pence
    0.84
     Flynn
    0.82
     Hear
    0.80
     Trout
    0.79
     Rogers
    0.78
     Daniels
    0.77
     Williams
    0.77
     Adams
    0.77
    Activations Density 0.013%

    No Known Activations