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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. 0-RES-JB
    11. 10337
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    Explanations

    phrases related to food and cuisine

    oai_token-act-pair · gpt-3.5-turbo

    references to fictional or fantastical creatures and elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acebook
    -1.09
     referen
    -1.03
    retty
    -0.92
    ometimes
    -0.92
    efeated
    -0.89
    GGGGGGGG
    -0.87
    escription
    -0.85
    vertisement
    -0.81
    itably
    -0.81
    irlf
    -0.79
    POSITIVE LOGITS
     Lumpur
    1.00
    NetMessage
    0.87
    WAYS
    0.78
     largeDownload
    0.77
    CLASSIFIED
    0.77
    BILITY
    0.74
    ×IJ
    0.72
    ãĥ£
    0.70
    dain
    0.69
    etheless
    0.69
    Activations Density 3.564%

    No Known Activations