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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. 20000
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    Explanations

    years, likely related to historical events or literary works

    oai_token-act-pair · gpt-3.5-turbo

    publication years of literary or film works

    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
    Not in Any Lists

    No Comments

    Negative Logits
     stead
    -0.80
    ique
    -0.77
    olean
    -0.71
    este
    -0.71
    ockets
    -0.69
    iqu
    -0.68
    amn
    -0.68
    hed
    -0.66
    bars
    -0.66
    iosis
    -0.66
    POSITIVE LOGITS
    -'
    1.04
    å¹
    0.95
     Nobel
    0.91
     edition
    0.86
     Chevrolet
    0.85
     masterpiece
    0.84
    âĢ²
    0.83
     Yamaha
    0.81
     vintage
    0.77
     Toyota
    0.77
    Activations Density 0.129%

    No Known Activations