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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. 2-RES-JB
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    Explanations

    references to vendors

    oai_token-act-pair · gpt-3.5-turbo

    references to vendors or vendors’ roles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jiang
    -0.76
     Guantanamo
    -0.74
    thritis
    -0.71
    chie
    -0.71
    uckland
    -0.69
    ICO
    -0.68
     Matter
    -0.68
     Garfield
    -0.67
    sen
    -0.65
     Panama
    -0.64
    POSITIVE LOGITS
     vendors
    1.32
     vendor
    1.16
     stalls
    0.99
     Vendor
    0.94
     Vend
    0.92
     booths
    0.87
    endor
    0.82
    merce
    0.81
     offerings
    0.80
     sellers
    0.73
    Activations Density 0.011%

    No Known Activations