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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. 5325
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    Explanations

    references to studies conducted by different organizations or research institutions, often with specific years mentioned

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that indicate reports or studies conducted by various organizations

    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
    ãĤ¦ãĤ¹
    -0.89
    ãĤ©
    -0.74
    \\\\\\\\\\\\\\\\
    -0.70
    Synopsis
    -0.67
    ãĥİ
    -0.67
    Mods
    -0.66
     solves
    -0.65
    Thumbnail
    -0.65
    reci
    -0.65
    claimer
    -0.65
    POSITIVE LOGITS
     academics
    0.94
     consultancy
    0.90
     researchers
    0.90
     Pric
    0.90
     Greenpeace
    0.86
     consultants
    0.86
     economists
    0.85
     Transparency
    0.84
     STATS
    0.82
     Amnesty
    0.81
    Activations Density 0.124%

    No Known Activations