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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. 20181
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    Explanations

    phrases related to explaining or referring to something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve references and explanations provided by speakers

    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
    iership
    -0.74
    ',
    -0.71
     (?,
    -0.70
    ,'
    -0.67
    nce
    -0.66
    ait
    -0.63
     CoC
    -0.62
    cair
    -0.60
    ,'"
    -0.60
    blogspot
    -0.59
    POSITIVE LOGITS
     adding
    0.99
     elabor
    0.94
     referring
    0.94
     laughs
    0.88
     chuck
    0.88
     understatement
    0.86
     sarcast
    0.86
     paraph
    0.84
     quoting
    0.83
     rhet
    0.82
    Activations Density 0.222%

    No Known Activations