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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. 9-RES-JB
    11. 19669
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    Explanations

    adverbs describing intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or modifiers that convey a strong emotional reaction or opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amiya
    -0.62
    don
    -0.61
    clude
    -0.61
    erness
    -0.60
     jointly
    -0.60
    haus
    -0.58
    VIDIA
    -0.58
    oubt
    -0.57
     carefully
    -0.57
    orney
    -0.55
    POSITIVE LOGITS
     traction
    1.04
     foothold
    0.93
     acquainted
    0.91
     mileage
    0.90
     rid
    0.85
     bog
    0.85
    involved
    0.84
     attention
    0.81
     lucky
    0.76
    ersive
    0.76
    Activations Density 0.139%

    No Known Activations