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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. 11-RES-JB
    6. 7393
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    INDEX
    Explanations

    sentences with the word "are" followed by adjectives or adverbs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the existence or presence of entities and groups

    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
    irmation
    -0.68
     Supports
    -0.65
     unfocusedRange
    -0.63
    orthern
    -0.62
    ulence
    -0.62
    itiveness
    -0.61
     Horizon
    -0.61
    abil
    -0.60
    iton
    -0.60
    iture
    -0.60
    POSITIVE LOGITS
     increasingly
    1.08
     scrambling
    1.06
     accustomed
    1.06
     understandably
    1.02
     clam
    1.02
     encouraged
    1.02
     often
    0.98
     outraged
    0.98
     fascinated
    0.97
     dying
    0.95
    Activations Density 0.205%

    No Known Activations