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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. 7-RES-JB
    11. 23762
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    INDEX
    Explanations

    adverbs that intensify the degree of an attribute or action

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers indicating high degrees of quality or severity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eto
    -0.68
    igi
    -0.68
    okes
    -0.67
    lins
    -0.67
    ajo
    -0.67
    isms
    -0.67
    fulness
    -0.66
    agra
    -0.66
    ies
    -0.66
    Runner
    -0.66
    POSITIVE LOGITS
     difficult
    1.02
     rare
    0.94
     unlikely
    0.92
     expensive
    0.91
     profitable
    0.90
     valuable
    0.89
     beneficial
    0.88
     inefficient
    0.87
     efficient
    0.86
     important
    0.86
    Activations Density 0.046%

    No Known Activations