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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. 3-RES-JB
    11. 12179
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    INDEX
    Explanations

    quantities or measures in terms of weight or mass

    oai_token-act-pair · gpt-3.5-turbo

    references to grams as a unit of measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    published
    -0.76
     hospitality
    -0.72
    irie
    -0.67
     jan
    -0.66
     secrecy
    -0.65
    idential
    -0.64
    lined
    -0.64
    joined
    -0.64
     Brave
    -0.63
    Ward
    -0.61
    POSITIVE LOGITS
     grams
    1.00
    poons
    0.97
    matical
    0.93
    matically
    0.85
    abyte
    0.83
    Quantity
    0.83
    ogram
    0.83
     servings
    0.82
    ometers
    0.79
     kilograms
    0.78
    Activations Density 0.015%

    No Known Activations