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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10570
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    Explanations

    words related to wild animals

    oai_token-act-pair · gpt-3.5-turbo

    references to wild animals, particularly large or dangerous species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.81
     promotions
    -0.71
     encour
    -0.69
     promotion
    -0.68
    undown
    -0.68
    ainment
    -0.66
     revised
    -0.65
     volunt
    -0.65
     deferred
    -0.65
     appropriations
    -0.65
    POSITIVE LOGITS
    vae
    1.00
    bane
    0.98
     nests
    0.84
    hawks
    0.83
     turtles
    0.82
     goats
    0.81
    birds
    0.80
    á
    0.79
     roam
    0.79
    assin
    0.77
    Activations Density 0.710%

    No Known Activations