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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. 6-RES-JB
    11. 17664
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    Explanations

    phrases related to mastering or excelling at something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to achieving success or hitting a target

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adian
    -0.67
     Leilan
    -0.65
    çĶ°
    -0.63
    ryu
    -0.62
    ials
    -0.61
    pai
    -0.61
     reign
    -0.59
     ç¥ŀ
    -0.58
     Intake
    -0.57
    ãĥ´
    -0.57
    POSITIVE LOGITS
     surprises
    0.64
     conclusions
    0.64
     conclusion
    0.62
    ENSE
    0.61
     guesses
    0.61
     Shots
    0.60
     ballpark
    0.60
    apolis
    0.58
    oops
    0.58
    antics
    0.56
    Activations Density 0.717%

    No Known Activations