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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. 9-RES-JB
    11. 1570
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    Explanations

    words related to specific marine animals, particularly whales

    oai_token-act-pair · gpt-3.5-turbo

    references to whales and related marine animal terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.99
    ãĥ´ãĤ¡
    -0.86
    yrinth
    -0.80
    encers
    -0.74
    encer
    -0.70
    uers
    -0.69
    encing
    -0.69
    vp
    -0.68
    âĸ¬
    -0.68
    âĶģ
    -0.66
    POSITIVE LOGITS
     whale
    1.08
     whales
    1.00
     carc
    0.95
     shark
    0.90
    odon
    0.89
     sharks
    0.88
     calf
    0.86
     calves
    0.84
    fish
    0.82
     dolphins
    0.81
    Activations Density 0.049%

    No Known Activations