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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. 7-RES-JB
    11. 23988
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    Explanations

    statements describing personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal experiences or problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leck
    -0.67
    ayer
    -0.63
     2020
    -0.63
     Gutenberg
    -0.62
    eus
    -0.61
     Contents
    -0.60
    ANK
    -0.59
    ember
    -0.58
     TMZ
    -0.57
     Utilities
    -0.57
    POSITIVE LOGITS
     myself
    1.28
     personally
    0.85
     anecd
    0.82
     experien
    0.80
     encount
    0.79
     firsthand
    0.75
     fond
    0.73
     my
    0.72
     fortunate
    0.72
     cowork
    0.71
    Activations Density 0.477%

    No Known Activations