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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. 11-RES-JB
    11. 19318
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    Explanations

    words related to scientific or technical terms, specifically those related to physical processes and procedures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to anatomical structures and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     HIP
    -0.59
     Tenth
    -0.57
     unequiv
    -0.55
     Medicare
    -0.55
     \'
    -0.54
     Fitz
    -0.54
     publication
    -0.54
     Gw
    -0.54
     general
    -0.53
     W
    -0.53
    POSITIVE LOGITS
    ipers
    0.99
    rices
    0.93
    aters
    0.89
    arters
    0.86
    inators
    0.86
    eware
    0.86
    choes
    0.86
    imilar
    0.85
    elines
    0.85
    aques
    0.84
    Activations Density 0.366%

    No Known Activations