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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. 1703
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    Explanations

    phrases related to problem-solving or improvement efforts

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional expressions or personal sentiment

    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
     Sic
    -0.68
     Mous
    -0.60
     Mobil
    -0.60
     dispers
    -0.59
     Manhattan
    -0.58
     mixed
    -0.57
     unmarked
    -0.57
     plasma
    -0.56
     Syd
    -0.55
     assemb
    -0.55
    POSITIVE LOGITS
    ľ
    1.55
    ¬
    1.51
    ¤
    1.43
    Ĺ
    1.43
    £
    1.42
    ¢
    1.40
    Ļ
    1.39
    Ń
    1.38
    ĺ
    1.38
    ¥
    1.37
    Activations Density 0.296%

    No Known Activations