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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. 3-RES-JB
    11. 18136
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    Explanations

    strongly negative and alarming statements, potentially related to health and political concerns

    oai_token-act-pair · gpt-3.5-turbo

    expressions or references related to social or political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mathemat
    -0.75
     imitation
    -0.72
     fragmentation
    -0.70
     popup
    -0.69
     subsequ
    -0.68
     imagination
    -0.68
     contrace
    -0.68
     mosqu
    -0.68
    geries
    -0.67
     misunder
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.18
    âĶĢâĶĢ
    0.93
    ¯
    0.90
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.87
    £
    0.86
    ï¸
    0.84
    âĸł
    0.82
    ±
    0.82
    §
    0.82
    âĢł
    0.79
    Activations Density 0.679%

    No Known Activations