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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. 2364
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    Explanations

    emoticons and special characters

    oai_token-act-pair · gpt-3.5-turbo

    symbols or non-standard characters

    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
     makeup
    -0.67
     Brist
    -0.65
    holm
    -0.64
    ification
    -0.63
     Lag
    -0.63
     shroud
    -0.62
     Bristol
    -0.61
     Doctors
    -0.61
     Fargo
    -0.61
    doms
    -0.61
    POSITIVE LOGITS
    Ģ
    1.94
    Ĥ
    1.90
    ¼
    1.89
    ĥ
    1.81
    ģ
    1.81
    Ħ
    1.81
    Ĥİ
    1.72
    £
    1.71
    ²
    1.71
    ¾
    1.70
    Activations Density 0.014%

    No Known Activations