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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. 11636
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    Explanations

    examples of items being sold and corresponding prices

    oai_token-act-pair · gpt-3.5-turbo

    monetary values associated with transactions or sales

    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
    Introduced
    -0.68
    natureconservancy
    -0.66
    ieth
    -0.66
    params
    -0.65
    illin
    -0.64
    oren
    -0.64
    mare
    -0.63
    Nav
    -0.59
    ellen
    -0.59
    verse
    -0.58
    POSITIVE LOGITS
     sale
    1.10
    geries
    1.04
    ked
    0.95
    bidden
    0.94
    gery
    0.91
     purposes
    0.89
     reuse
    0.87
     eternity
    0.86
    aging
    0.82
     example
    0.82
    Activations Density 0.156%

    No Known Activations