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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. 21416
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    Explanations

    adverbs ending in 'ly'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that convey levels of intensity and mannerism

    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
    uese
    -0.70
    umbn
    -0.70
    olicy
    -0.68
    gerald
    -0.68
    uer
    -0.66
    ency
    -0.62
    Hub
    -0.61
    encies
    -0.60
    utenberg
    -0.60
    cair
    -0.60
    POSITIVE LOGITS
     speaking
    1.05
     risking
    0.88
     sacrificing
    0.88
     ruining
    0.86
     forgetting
    0.86
     dismissing
    0.84
     conced
    0.84
     shutting
    0.83
     ignoring
    0.83
     realizing
    0.83
    Activations Density 0.206%

    No Known Activations