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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1725
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    ptoms
    -0.74
    obyl
    -0.73
    ashtra
    -0.68
    igible
    -0.66
     "$:/
    -0.61
    bors
    -0.61
    iso
    -0.60
    forge
    -0.59
    ships
    -0.59
    ority
    -0.59
    POSITIVE LOGITS
     extracting
    0.82
     Nanto
    0.74
     course
    0.72
     manipulating
    0.72
     exploiting
    0.70
    DOM
    0.63
     collecting
    0.62
     repealing
    0.61
     adapting
    0.61
     trick
    0.61
    Activations Density 0.138%

    No Known Activations