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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. 3-RES-JB
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    references related to the Olympics

    oai_token-act-pair · gpt-3.5-turbo

    references to the Olympics and Paralympics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stocks
    -0.80
    ++++++++++++++++
    -0.74
    doors
    -0.70
     breath
    -0.70
    âĸij
    -0.66
     chilling
    -0.64
    ======
    -0.64
    butt
    -0.63
    ========
    -0.62
    ~~~~~~~~~~~~~~~~
    -0.62
    POSITIVE LOGITS
     Olymp
    1.09
    ians
    0.91
    lymp
    0.89
     traged
    0.88
    ias
    0.82
    iques
    0.81
     Pengu
    0.81
    lus
    0.81
    opoulos
    0.81
    alis
    0.80
    Activations Density 0.009%

    No Known Activations