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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. 1-RES-JB
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    Explanations

    references to whales

    oai_token-act-pair · gpt-3.5-turbo

    references to whales and their related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.83
    Rap
    -0.79
    uers
    -0.77
    Interstitial
    -0.73
     Spiegel
    -0.70
    Primary
    -0.69
    ados
    -0.69
    rival
    -0.68
    pse
    -0.67
    DIR
    -0.67
    POSITIVE LOGITS
     whales
    1.50
     whale
    1.43
     Whale
    1.31
    odon
    1.10
     sharks
    0.97
     dolphins
    0.94
     shark
    0.89
     hump
    0.85
    ertodd
    0.83
     dolphin
    0.78
    Activations Density 0.009%

    No Known Activations