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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. 8-RES-JB
    11. 12388
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    Explanations

    descriptions of software applications as being user-friendly

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of simplicity and ease of use in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psey
    -0.74
    ority
    -0.70
    ghost
    -0.68
    erguson
    -0.67
    owship
    -0.66
    kar
    -0.65
    reon
    -0.65
     Marketable
    -0.64
    ourning
    -0.64
     Dreams
    -0.64
    POSITIVE LOGITS
     inexpensive
    1.03
     intuitive
    0.95
     elegant
    0.90
     convenient
    0.89
     hassle
    0.87
     scalable
    0.86
     checkout
    0.86
    ASY
    0.85
     easy
    0.85
     streamlined
    0.84
    Activations Density 0.311%

    No Known Activations