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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. 1-RES-JB
    11. 8907
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    Explanations

    adjectives conveying intensity or extremeness

    oai_token-act-pair · gpt-3.5-turbo

    intensifying adverbs, particularly the word "very."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mechdragon
    -0.73
     externalToEVAOnly
    -0.66
     Bei
    -0.63
    osal
    -0.63
    è¦ļéĨĴ
    -0.63
     Legions
    -0.62
     IU
    -0.61
     Tanz
    -0.60
    ioch
    -0.59
    inators
    -0.58
    POSITIVE LOGITS
    very
    0.98
    STEM
    0.85
    icult
    0.82
    ----------------
    0.80
    -----------
    0.79
    interesting
    0.78
    geoning
    0.76
    avid
    0.73
    grass
    0.72
    expensive
    0.72
    Activations Density 0.008%

    No Known Activations