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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. 8635
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    Explanations

    specific types of objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns related to technology, health, and social issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    osi
    -0.69
     Candidate
    -0.64
     Heist
    -0.63
     Serie
    -0.62
     Bald
    -0.61
     Blades
    -0.61
    atorium
    -0.61
    Attempts
    -0.60
    Times
    -0.59
     Kul
    -0.59
    POSITIVE LOGITS
    paces
    1.22
    hip
    1.11
    pace
    1.09
    ynthesis
    1.04
    ystem
    1.03
     abound
    1.02
    chool
    1.02
     themselves
    0.99
    cale
    0.99
    poons
    0.99
    Activations Density 0.408%

    No Known Activations