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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. 5182
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    Explanations

    mentions of meeting or interacting with individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of meeting or interacting with people

    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
     CLR
    -0.68
     itself
    -0.66
    Tags
    -0.65
     Commissioners
    -0.60
    rawdownloadcloneembedreportprint
    -0.58
     Ori
    -0.56
     Prec
    -0.56
     Secretary
    -0.55
    IRO
    -0.55
    Mode
    -0.55
    POSITIVE LOGITS
     whom
    1.06
    who
    0.91
     who
    0.88
     anonymously
    0.87
    ãĤ¨ãĥ«
    0.82
     sidx
    0.81
     surn
    0.80
     personally
    0.79
     online
    0.76
     named
    0.73
    Activations Density 0.148%

    No Known Activations