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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. 7603
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    Explanations

    instances where the concept of "addressing an issue" is discussed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the act of resolving issues or concerns

    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
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    No Comments

    Negative Logits
    ischer
    -0.83
    akin
    -0.70
    rites
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    rit
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    umbers
    -0.66
    ety
    -0.65
    rug
    -0.64
    lime
    -0.64
    isher
    -0.62
     Bees
    -0.61
    POSITIVE LOGITS
    xual
    0.76
     shortcomings
    0.72
     grievances
    0.71
    urally
    0.69
     sexism
    0.69
    iencies
    0.67
     deficiencies
    0.66
     questions
    0.66
    ptive
    0.64
     issues
    0.64
    Activations Density 0.028%

    No Known Activations