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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. 10-RES-JB
    11. 16454
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    Explanations

    phrases related to organizations, especially political or work-related ones

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to organizational structures and affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ceilings
    -0.78
     cliff
    -0.78
     enhancements
    -0.74
     endings
    -0.72
     wrinkles
    -0.72
     opener
    -0.72
     retri
    -0.71
    reci
    -0.70
     scenarios
    -0.69
     sucker
    -0.69
    POSITIVE LOGITS
     UNESCO
    1.17
     SOC
    0.97
     UNHCR
    0.97
     Greenpeace
    0.96
     ours
    0.96
     Organisation
    0.95
     HHS
    0.95
     Organization
    0.95
     NOAA
    0.94
     HSBC
    0.93
    Activations Density 0.445%

    No Known Activations