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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. 3-RES-JB
    11. 9433
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    Explanations

    mentions of vendors

    oai_token-act-pair · gpt-3.5-turbo

    references to various vendors and their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chie
    -0.75
    thritis
    -0.75
    pson
    -0.68
     Matter
    -0.68
    jiang
    -0.68
     Enlightenment
    -0.67
     Freem
    -0.66
     Guantanamo
    -0.66
    eworld
    -0.65
     Garfield
    -0.63
    POSITIVE LOGITS
     vendors
    1.21
     vendor
    1.02
     Vend
    0.87
     stalls
    0.86
     Vendor
    0.79
     booths
    0.74
    endor
    0.74
     sellers
    0.69
    ensical
    0.67
    stration
    0.67
    Activations Density 0.010%

    No Known Activations