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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. 14091
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    Explanations

    comma ',' characters preceded by the word 'very'

    oai_token-act-pair · gpt-3.5-turbo

    the frequent use of the word "very."

    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
     Rivals
    -0.65
     Contracts
    -0.63
     Miranda
    -0.63
     Conquest
    -0.62
    anova
    -0.62
     408
    -0.61
     Cases
    -0.59
    ake
    -0.59
    accompan
    -0.59
     Medals
    -0.58
    POSITIVE LOGITS
     VERY
    1.51
     very
    1.46
    very
    1.36
    Very
    1.20
     Very
    1.14
     awfully
    1.03
     extremely
    1.00
    retty
    0.95
    ribly
    0.95
     terribly
    0.94
    Activations Density 0.028%

    No Known Activations