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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. 13356
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    Explanations

    phrases related to social interactions and plans

    oai_token-act-pair · gpt-3.5-turbo

    references to social interactions and their outcomes

    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
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    No Comments

    Negative Logits
    ģĸ
    -0.74
    intel
    -0.74
    pmwiki
    -0.72
    Detailed
    -0.70
    BRE
    -0.69
    Advertisements
    -0.68
    buster
    -0.67
    Conclusion
    -0.66
    =>
    -0.66
    ¶ħ
    -0.65
    POSITIVE LOGITS
     he
    1.25
     she
    1.13
     his
    1.02
     hers
    0.95
     her
    0.84
     mornings
    0.77
     worries
    0.76
    she
    0.74
     classmates
    0.74
     volunteering
    0.73
    Activations Density 0.634%

    No Known Activations