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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. 10021
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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
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.66
    LESS
    -0.61
     Nicotine
    -0.56
     Feast
    -0.56
    EStream
    -0.55
    FUL
    -0.55
    less
    -0.55
     Dragonbound
    -0.53
     Aber
    -0.53
     Akin
    -0.52
    POSITIVE LOGITS
    ª
    1.02
    ·
    0.99
    ©
    0.97
    ĩ
    0.96
    Ģ
    0.94
    ĺ
    0.89
    ´
    0.89
    ī
    0.89
    ¹
    0.89
    ¬
    0.89
    Activations Density 0.493%

    No Known Activations