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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. 4-RES-JB
    11. 16684
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    INDEX
    Explanations

    words related to physical weight or heaviness

    oai_token-act-pair · gpt-3.5-turbo

    references to weight

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

    No Comments

    Negative Logits
    ICLE
    -0.83
     VIS
    -0.76
    BLE
    -0.76
     Noir
    -0.73
    UTE
    -0.73
     Suc
    -0.71
     Kidd
    -0.70
    ffe
    -0.70
     Gutenberg
    -0.70
     Booker
    -0.69
    POSITIVE LOGITS
    weight
    1.10
     weights
    1.10
     weight
    1.01
    lifting
    1.00
    weights
    0.99
    lessness
    0.91
    Weight
    0.89
    bags
    0.87
     heavier
    0.86
    loss
    0.85
    Activations Density 0.015%

    No Known Activations