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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. 5635
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    Explanations

    references to specific titles or names, especially with titles like "The Secretary" or names like "David."

    oai_token-act-pair · gpt-3.5-turbo

    names and references to individuals and entities

    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
    omet
    -1.02
     Comet
    -0.85
     Zucker
    -0.80
     Zo
    -0.75
    803
    -0.75
    wolf
    -0.74
     Vox
    -0.73
     Spike
    -0.69
     Zika
    -0.69
    703
    -0.68
    POSITIVE LOGITS
    ãĤ½
    0.90
     sqor
    0.80
    enth
    0.78
    Min
    0.75
    ¢
    0.75
    sg
    0.75
    ãĥŁ
    0.74
    ser
    0.74
    icent
    0.73
    MIN
    0.73
    Activations Density 0.428%

    No Known Activations