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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. 4-RES-JB
    11. 2670
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    Explanations

    phrases related to the concept of being caught or trapped

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "hook."

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

    No Comments

    Negative Logits
     guiIcon
    -0.77
    ndum
    -0.73
    zza
    -0.71
     Canaver
    -0.64
     Enrique
    -0.64
     intolerance
    -0.64
     Scotia
    -0.64
     Sorceress
    -0.63
     Nieto
    -0.62
     atro
    -0.61
    POSITIVE LOGITS
     hook
    0.96
    ysis
    0.95
    pipe
    0.95
    notes
    0.93
    worm
    0.91
    strap
    0.91
    hook
    0.90
    tail
    0.89
     Hook
    0.87
    worms
    0.85
    Activations Density 0.013%

    No Known Activations