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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. 1-RES-JB
    11. 11260
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    Explanations

    various objects or concepts that can be stored or contained

    oai_token-act-pair · gpt-3.5-turbo

    references to the contents of various items or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    asio
    -0.69
     CVE
    -0.63
     dime
    -0.63
     axis
    -0.60
    ron
    -0.60
    ARP
    -0.60
    roads
    -0.58
     norm
    -0.58
    capital
    -0.57
     Genie
    -0.57
    POSITIVE LOGITS
     contents
    1.34
     Contents
    1.03
    uggest
    0.99
    ĸļ
    0.96
    afety
    0.95
    pread
    0.86
    matter
    0.84
    ãĤ¦ãĤ¹
    0.83
    ngth
    0.82
    ãĤ¼ãĤ¦ãĤ¹
    0.80
    Activations Density 0.010%

    No Known Activations