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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. 0-RES-JB
    11. 15139
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    INDEX
    Explanations

    references to subterranean locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to underground environments or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Win
    -0.79
    win
    -0.78
     Gret
    -0.77
    Len
    -0.76
    WIN
    -0.72
    qual
    -0.69
     clin
    -0.68
    Frames
    -0.68
     Win
    -0.68
     Kell
    -0.67
    POSITIVE LOGITS
     underground
    3.68
     Underground
    2.51
     subter
    1.88
     underworld
    1.72
     tunnels
    1.62
    ranean
    1.53
     underwater
    1.47
     clandestine
    1.33
     undercover
    1.33
     inland
    1.31
    Activations Density 0.024%

    No Known Activations