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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. 6-RES-JB
    11. 5044
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulated products and commodities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     repetition
    -0.59
     adversary
    -0.59
    ULT
    -0.59
     Hacker
    -0.58
     Cats
    -0.57
     rapport
    -0.57
     onlook
    -0.56
    cknow
    -0.55
     coincidence
    -0.54
     rivalry
    -0.52
    POSITIVE LOGITS
     cheaply
    1.06
     freely
    0.97
     abroad
    0.95
     efficiently
    0.89
     safely
    0.87
     directly
    0.85
    soever
    0.82
     securely
    0.81
    coins
    0.80
     without
    0.79
    Activations Density 0.512%

    No Known Activations