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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. 8-RES-JB
    11. 11880
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    INDEX
    Explanations

    phrases describing something as extremely intense or significant

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or adverbs indicating a high degree of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eners
    -0.73
    isms
    -0.71
    lake
    -0.69
    lins
    -0.68
    Frames
    -0.68
    agra
    -0.67
    igi
    -0.67
    ajo
    -0.67
    igate
    -0.66
    iture
    -0.65
    POSITIVE LOGITS
     difficult
    1.02
     rare
    0.96
     valuable
    0.95
     unlikely
    0.95
     beneficial
    0.91
     expensive
    0.90
     important
    0.90
     useful
    0.87
     versatile
    0.87
     sensitive
    0.87
    Activations Density 0.054%

    No Known Activations