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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. 18561
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    Explanations

    reference to people who are arriving or traveling to different places

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to people arriving or visiting places

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    tone
    -0.69
    ĪĴ
    -0.67
     composure
    -0.61
    RAW
    -0.61
    lain
    -0.61
    thur
    -0.61
     majesty
    -0.60
    Defense
    -0.60
     ESV
    -0.60
     Recap
    -0.59
    POSITIVE LOGITS
     illegally
    0.90
     hither
    0.84
     ashore
    0.83
     hungry
    0.78
     voluntarily
    0.77
     willingly
    0.77
     aboard
    0.76
     anonymously
    0.75
     pilgr
    0.74
     freely
    0.74
    Activations Density 0.228%

    No Known Activations