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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. 7085
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    Explanations

    predatory animals and their specific species

    oai_token-act-pair · gpt-3.5-turbo

    specific species of animals and their classifications

    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
    è£ħ
    -0.74
     billing
    -0.74
     fabrication
    -0.72
    Revolution
    -0.71
     Angle
    -0.70
     fabricated
    -0.70
    ãĤ¹ãĥĪ
    -0.69
     resh
    -0.69
    Gate
    -0.68
    Ware
    -0.68
    POSITIVE LOGITS
    fish
    1.18
    abies
    1.11
    birds
    1.10
     whales
    1.09
     beetle
    1.08
     dolphins
    1.06
     turtles
    1.06
     beetles
    1.05
    ymph
    1.04
     chimpanzees
    1.04
    Activations Density 0.211%

    No Known Activations