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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. 4058
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    Explanations

    emotional or dramatic statements made by characters

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional expressions or reactions

    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
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    No Comments

    Negative Logits
     targeted
    -0.78
     fragmented
    -0.73
     stakes
    -0.72
     territorial
    -0.71
     metic
    -0.71
     dubbed
    -0.71
     effected
    -0.70
     touted
    -0.70
     populated
    -0.69
     selection
    -0.69
    POSITIVE LOGITS
    why
    1.40
    yeah
    1.38
    fuck
    1.31
    please
    1.31
    you
    1.30
    what
    1.28
    sorry
    1.26
    I
    1.25
    Yeah
    1.24
    Fuck
    1.23
    Activations Density 0.148%

    No Known Activations