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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
    11. 22625
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    Explanations

    mentions of various types of whales

    oai_token-act-pair · gpt-3.5-turbo

    terms related to whales and their species

    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
    Interstitial
    -0.87
    ãĥ´ãĤ¡
    -0.80
    senal
    -0.75
    uers
    -0.74
    PT
    -0.68
    yrinth
    -0.67
    mble
    -0.66
    nerg
    -0.65
     Spiegel
    -0.65
    Primary
    -0.64
    POSITIVE LOGITS
     whale
    1.38
     whales
    1.34
    odon
    1.12
     Whale
    1.11
     sharks
    1.10
     shark
    1.04
    fish
    0.95
     dolphins
    0.91
     hump
    0.87
     carc
    0.85
    Activations Density 0.009%

    No Known Activations