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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. 8-RES-JB
    11. 12943
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    Explanations

    phrases indicating accordance or instruction

    oai_token-act-pair · gpt-3.5-turbo

    phrases beginning with "per" indicating sources or references

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     GOODMAN
    -0.70
    enez
    -0.69
    ppel
    -0.68
    enaries
    -0.67
    orthy
    -0.66
    abulary
    -0.65
    inary
    -0.65
    ARDIS
    -0.64
    hess
    -0.62
    å¦
    -0.61
    POSITIVE LOGITS
    tains
    1.01
     usual
    0.91
     capita
    0.79
     instructions
    0.79
    malink
    0.77
     Wikipedia
    0.76
    severe
    0.76
     directions
    0.75
     standards
    0.72
     directives
    0.72
    Activations Density 0.024%

    No Known Activations