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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. 1-RES-JB
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    Explanations

    mentions of the word "Taco" along with its variations in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to tacos and related food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ashes
    -0.89
    theless
    -0.78
    heid
    -0.77
     Papua
    -0.72
    lihood
    -0.68
     Imran
    -0.68
     BCC
    -0.66
    horn
    -0.66
     VK
    -0.66
     Kuwait
    -0.65
    POSITIVE LOGITS
    hetto
    0.85
    ric
    0.80
    riz
    0.77
    rue
    0.74
     corrid
    0.73
    orie
    0.72
    rito
    0.71
     Tac
    0.71
     taco
    0.70
    rio
    0.70
    Activations Density 0.017%

    No Known Activations