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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. 18007
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sections of text that are empty or contain no content

    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
    oppable
    -0.62
     relentlessly
    -0.62
     helicop
    -0.58
     fiercely
    -0.57
     nurt
    -0.57
    livious
    -0.56
    elfth
    -0.55
     ÂŃ
    -0.55
     frontline
    -0.55
    ividually
    -0.55
    POSITIVE LOGITS
    ↵Âł
    0.89
    )?
    0.86
     :)
    0.83
     Quote
    0.82
     ):
    0.81
    ¶
    0.81
     ;)
    0.80
     english
    0.80
     Flavoring
    0.77
     dont
    0.77
    Activations Density 1.066%

    No Known Activations