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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. 2432
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    Explanations

    personal relationships and interactions between individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to personal relationships and interactions

    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
    bnb
    -0.62
    aples
    -0.61
     attm
    -0.61
     [+
    -0.59
     Adds
    -0.59
     Explain
    -0.59
    Ô
    -0.58
    reprene
    -0.57
     Learn
    -0.57
     guiName
    -0.56
    POSITIVE LOGITS
     hadn
    1.51
     had
    1.46
    had
    1.34
     belonged
    1.30
     owed
    1.26
     resembled
    1.25
     was
    1.25
    'd
    1.24
     would
    1.22
     awaited
    1.21
    Activations Density 0.867%

    No Known Activations