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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. 6-RES-JB
    11. 7736
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    Explanations

    words related to contentious issues or problems

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to issues and work-related concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patriarch
    -0.75
     Bucc
    -0.64
     Bret
    -0.61
     Coffin
    -0.59
     Franks
    -0.58
     Pruitt
    -0.58
     Bapt
    -0.58
     Lanc
    -0.57
     Fatal
    -0.56
     Presbyter
    -0.56
    POSITIVE LOGITS
     discretion
    0.83
    mast
    0.78
    Footnote
    0.76
     behest
    0.76
     glance
    0.76
    ulkan
    0.74
     intersections
    0.74
     expense
    0.72
    ../
    0.70
     apiece
    0.70
    Activations Density 0.081%

    No Known Activations