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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. 1839
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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
     guiActiveUnfocused
    -0.79
     Leilan
    -0.68
     wink
    -0.67
     blender
    -0.62
     knit
    -0.62
     handshake
    -0.62
     federation
    -0.62
     cyan
    -0.62
     Circus
    -0.62
     simultane
    -0.62
    POSITIVE LOGITS
    º
    1.07
    £
    1.07
    Ĵ
    1.06
    ı
    1.01
    ¢
    1.01
    ¹
    1.00
    ĵ
    0.97
    Ń
    0.95
    Ĩ
    0.94
    į
    0.92
    Activations Density 0.345%

    No Known Activations