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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. 9-RES-JB
    11. 3392
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    Explanations

    phrases related to business transactions and charitable activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of transactions or distributions involving goods, services, or charitable contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anism
    -0.74
    anship
    -0.72
    ivalry
    -0.71
    iquette
    -0.71
    zsche
    -0.68
    arine
    -0.67
    eness
    -0.67
    atism
    -0.67
    smanship
    -0.64
    ivism
    -0.64
    POSITIVE LOGITS
     needy
    1.08
     coffers
    1.07
     bidder
    1.03
     purchaser
    0.90
     recipients
    0.87
     recipient
    0.86
    omever
    0.82
     creditors
    0.82
     tune
    0.82
     detriment
    0.79
    Activations Density 0.562%

    No Known Activations