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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. 0-RES-JB
    11. 9404
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    Explanations

    references to potential opportunities or future possibilities

    oai_token-act-pair · gpt-3.5-turbo

    references to potential opportunities or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aga
    -0.61
    DW
    -0.61
     Anonymous
    -0.61
    nee
    -0.61
    hog
    -0.58
     Donation
    -0.58
     bite
    -0.58
    Wr
    -0.58
    que
    -0.57
    washing
    -0.57
    POSITIVE LOGITS
     prospects
    3.88
     prospect
    2.55
     Prospect
    1.81
     chances
    1.68
     opportunities
    1.36
     possibilities
    1.33
     aspirations
    1.26
     prospective
    1.25
     potential
    1.18
     recruits
    1.16
    Activations Density 0.011%

    No Known Activations