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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. 11884
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    INDEX
    Explanations

    adverbs emphasizing the degree or intensity of a quality or action

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or adverbs that convey extreme qualities or conditions

    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
    elsen
    -0.74
    aternity
    -0.72
    mast
    -0.69
    ajo
    -0.69
    Frames
    -0.68
    ĸļ
    -0.67
    absolutely
    -0.65
    Shop
    -0.64
    76561
    -0.63
    isms
    -0.63
    POSITIVE LOGITS
     valuable
    1.10
     rare
    1.07
     difficult
    1.02
     helpful
    1.00
     beneficial
    0.97
     important
    0.96
     expensive
    0.96
     dangerous
    0.95
     talented
    0.95
     versatile
    0.94
    Activations Density 0.077%

    No Known Activations