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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. 10-RES-JB
    11. 10323
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    INDEX
    Explanations

    baking ingredients and measurements

    oai_token-act-pair · gpt-3.5-turbo

    ingredients typically found in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ',"
    -0.75
    .""
    -0.69
    '."
    -0.69
     WATCHED
    -0.68
    dq
    -0.67
    eatures
    -0.67
    '>
    -0.66
    exclusive
    -0.66
    ').
    -0.65
    \">
    -0.64
    POSITIVE LOGITS
     Instructions
    1.15
     Directions
    1.05
    optional
    0.97
     optional
    0.88
     Optional
    0.87
     finely
    0.83
     ½
    0.83
    poons
    0.82
     diced
    0.81
     flakes
    0.81
    Activations Density 0.075%

    No Known Activations