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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. 24087
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    Explanations

    mentions of the quantity "several" in connection with a variety of contexts or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of multiple entities or groups

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    verb
    -0.81
    rahim
    -0.77
    nothing
    -0.73
    potion
    -0.72
    iquette
    -0.67
     spores
    -0.67
    avier
    -0.67
    bas
    -0.64
    eat
    -0.63
    URI
    -0.63
    POSITIVE LOGITS
     prominent
    1.02
     reputable
    1.02
     departments
    0.98
     websites
    0.97
     sectors
    0.96
     countries
    0.96
     locations
    0.94
     ministries
    0.93
     industries
    0.93
     sites
    0.93
    Activations Density 0.295%

    No Known Activations