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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. 7-RES-JB
    11. 15171
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    Explanations

    nutrition-related information such as fiber content, sugar content, and vitamin percentages in a product

    oai_token-act-pair · gpt-3.5-turbo

    nutritional information and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©Ł
    -0.56
    uties
    -0.52
    oday
    -0.52
    irements
    -0.51
    onnaissance
    -0.51
    mson
    -0.51
    itizens
    -0.51
    itled
    -0.51
    ansk
    -0.50
    agonists
    -0.50
    POSITIVE LOGITS
    .''.
    1.02
    '."
    0.95
    .'"
    0.86
    ''.
    0.83
    )."
    0.82
    `.
    0.82
    .</
    0.79
    ]."
    0.79
    .''
    0.78
    .'
    0.74
    Activations Density 1.243%

    No Known Activations