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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. 4835
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    Explanations

    numerical values or quantities

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to financial transactions and consumption

    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
    stakes
    -0.69
    hid
    -0.67
    itus
    -0.66
    tif
    -0.62
    tain
    -0.62
    issue
    -0.61
    thren
    -0.59
     Disp
    -0.59
    ertain
    -0.59
    sic
    -0.58
    POSITIVE LOGITS
     fewer
    1.10
     roughly
    0.99
     approximately
    0.99
     nearly
    0.97
     twice
    0.94
     plenty
    0.92
     340
    0.91
     whopping
    0.91
     337
    0.91
     355
    0.90
    Activations Density 0.346%

    No Known Activations