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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 10166
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    Explanations

    words or phrases separated by special characters surrounded by a specific type of character

    oai_token-act-pair · gpt-3.5-turbo

    references to risk or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.81
    nesday
    -0.71
     estranged
    -0.70
     scrap
    -0.66
     intending
    -0.65
     undermin
    -0.65
    iton
    -0.65
    xual
    -0.63
     diving
    -0.62
     endeav
    -0.62
    POSITIVE LOGITS
    ³³³
    1.12
    ³³³³³³³³
    1.04
    ³³³³
    0.99
    ³³³³³³³³³³³³³³³³
    0.98
    Posted
    0.89
    pmwiki
    0.87
    SCP
    0.85
    Contents
    0.85
    ³³
    0.84
    Rail
    0.84
    Activations Density 0.274%

    No Known Activations