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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. 7310
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    Explanations

    phrases related to animals and body parts such as horns and goat

    oai_token-act-pair · gpt-3.5-turbo

    references to goats 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
     condem
    -0.73
    ept
    -0.69
    orneys
    -0.69
    nant
    -0.67
    usions
    -0.67
    aneously
    -0.64
    urrent
    -0.64
     Universe
    -0.62
    estamp
    -0.62
     PowerPoint
    -0.62
    POSITIVE LOGITS
     goats
    0.97
     goat
    0.96
     Cheese
    0.94
    asus
    0.93
     Goat
    0.87
     cheese
    0.85
    weed
    0.84
    wright
    0.84
    fruit
    0.78
    qv
    0.77
    Activations Density 0.005%

    No Known Activations