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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. 11-RES-JB
    11. 4740
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    Explanations

    mentions of the word "lost."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lost" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osi
    -0.72
    sis
    -0.68
     MOR
    -0.63
    ses
    -0.63
     Quadro
    -0.62
    heid
    -0.62
    ICO
    -0.61
    idium
    -0.61
     Rae
    -0.60
    ellar
    -0.59
    POSITIVE LOGITS
     souls
    0.97
     Souls
    0.93
    luster
    0.91
     sight
    0.88
    orage
    0.86
     forever
    0.86
     amidst
    0.79
    pedia
    0.78
    lust
    0.78
     innocence
    0.77
    Activations Density 0.041%

    No Known Activations