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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. 7-RES-JB
    6. 23318
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    Explanations

    phrases that describe or attribute actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "which" indicating descriptions or clarifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Behind
    -0.69
    athi
    -0.69
     Solution
    -0.69
    nor
    -0.67
    cup
    -0.65
    uta
    -0.64
    STE
    -0.64
     VIDEOS
    -0.62
     Et
    -0.62
    Bas
    -0.62
    POSITIVE LOGITS
     comprises
    1.05
     consisted
    1.04
     culminated
    1.04
     culmin
    1.03
     lasted
    1.02
     consists
    1.00
     resulted
    0.99
     prompted
    0.97
     originated
    0.93
     occurred
    0.93
    Activations Density 0.107%

    No Known Activations