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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. 13073
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    INDEX
    Explanations

    mentions of specific publications and their content

    oai_token-act-pair · gpt-3.5-turbo

    references to political publications and journalism

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Whilst
    -0.78
     ðŁĺ
    -0.77
    Í
    -0.75
     whilst
    -0.74
    âĶĢâĶĢ
    -0.72
    Firstly
    -0.71
    âĢ
    -0.69
     realised
    -0.68
     âĶ
    -0.68
    ãĥİ
    -0.68
    POSITIVE LOGITS
     Pulitzer
    1.40
     Brookings
    1.19
     nonpartisan
    1.13
     Rockefeller
    1.03
     Politico
    1.02
     Princeton
    1.00
     Georgetown
    1.00
     Smithsonian
    1.00
     neocons
    1.00
     Harvard
    1.00
    Activations Density 0.841%

    No Known Activations