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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. 17614
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    Explanations

    references to business or financial services

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to various types of services

    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
    ning
    -0.70
     Kern
    -0.68
    zi
    -0.67
    Ze
    -0.67
    NING
    -0.65
    obil
    -0.64
    stick
    -0.64
     Blank
    -0.60
    abet
    -0.60
    iary
    -0.59
    POSITIVE LOGITS
     rendered
    0.91
     services
    0.90
     provider
    0.88
    afety
    0.86
    oteric
    0.85
     Provider
    0.85
    ettlement
    0.84
     providers
    0.84
    mith
    0.79
    earch
    0.79
    Activations Density 0.024%

    No Known Activations