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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. 1957
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    Explanations

    terms related to whales, specifically focusing on mentions of "whale" or "whales" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to whales and related terms

    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
    ãĥ´ãĤ¡
    -0.85
    uers
    -0.80
    Interstitial
    -0.74
    senal
    -0.73
    PT
    -0.71
     Spiegel
    -0.71
    Rap
    -0.70
    Primary
    -0.65
    rival
    -0.65
    Brand
    -0.64
    POSITIVE LOGITS
     whale
    1.38
     whales
    1.36
     Whale
    1.14
    odon
    1.10
     sharks
    0.99
     shark
    0.93
     dolphins
    0.90
    fish
    0.82
     dolphin
    0.77
     hump
    0.77
    Activations Density 0.009%

    No Known Activations