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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. 1-RES-JB
    11. 6621
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    Explanations

    proper nouns, likely names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals, particularly names associated with specific events or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.79
    ãģ®éŃĶ
    -0.77
    ITNESS
    -0.75
     Camden
    -0.74
    åij
    -0.73
    ³³³
    -0.70
     Coastal
    -0.69
     Wilmington
    -0.69
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.69
     Dangerous
    -0.68
    POSITIVE LOGITS
     Zar
    1.18
    enei
    0.92
    thal
    0.87
    assic
    0.86
    imir
    0.85
    quel
    0.83
    amac
    0.82
    zag
    0.81
     challeng
    0.80
    hiba
    0.79
    Activations Density 0.006%

    No Known Activations