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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 11444
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    Explanations

    brand names, organizations, and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    specific brand or organization names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lain
    -0.79
    20439
    -0.76
    /-
    -0.72
    oldemort
    -0.70
    akable
    -0.69
    Ö
    -0.69
    opol
    -0.66
    aca
    -0.66
    utterstock
    -0.66
    henko
    -0.63
    POSITIVE LOGITS
     Handbook
    0.70
     Documents
    0.68
     Account
    0.68
     Journals
    0.66
     pride
    0.65
    senal
    0.65
     Acquisition
    0.64
     Ranked
    0.64
    FAQ
    0.64
     Database
    0.62
    Activations Density 0.532%

    No Known Activations