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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. 10-RES-JB
    6. 17252
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    Explanations

    special characters or unicode patterns

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to sentiment analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.77
     amnesty
    -0.70
     steroids
    -0.69
     underestimate
    -0.69
     undermin
    -0.68
     favoured
    -0.68
     imperson
    -0.66
     occas
    -0.66
     framed
    -0.65
     citiz
    -0.65
    POSITIVE LOGITS
    ³³³
    1.19
    ³³³³³³³³³³³³³³³³
    1.16
    ³³³³³³³³
    1.15
    ³³³³
    1.14
    ³³
    1.09
    posted
    1.01
    Synopsis
    0.96
    Alright
    0.93
    Posted
    0.93
    Okay
    0.93
    Activations Density 0.263%

    No Known Activations