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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. 2-RES-JB
    11. 6079
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    Explanations

    mentions of medals, particularly bronze and silver

    oai_token-act-pair · gpt-3.5-turbo

    references to medals in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.74
    nu
    -0.70
    EEK
    -0.66
    eu
    -0.62
    mosp
    -0.61
    âĸij
    -0.60
     Stras
    -0.60
     Scrib
    -0.60
     Ple
    -0.59
    Beg
    -0.59
    POSITIVE LOGITS
     medal
    1.36
     medals
    1.26
     Medal
    1.10
     Medals
    0.80
     Prize
    0.80
    inal
    0.79
    gio
    0.79
    cakes
    0.78
    oons
    0.77
    cake
    0.76
    Activations Density 0.010%

    No Known Activations