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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. 5-RES-JB
    6. 15761
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     flares
    -0.82
     flare
    -0.68
     skelet
    -0.67
     levers
    -0.66
     contrace
    -0.65
     depth
    -0.63
     attendance
    -0.62
    ãĥĻ
    -0.62
     reflection
    -0.61
    ++++++++++++++++
    -0.61
    POSITIVE LOGITS
    ée
    0.76
    ault
    0.74
    schild
    0.74
    ç
    0.74
    én
    0.73
    ï¸ı
    0.73
    ailable
    0.73
    hower
    0.72
    ois
    0.71
    é
    0.70
    Activations Density 0.199%

    No Known Activations