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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. 7-RES-JB
    11. 289
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    INDEX
    Explanations

    adverbs and adjectives emphasizing intensity or high degree

    oai_token-act-pair · gpt-3.5-turbo

    emphasis on small quantities or degree of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dialogue
    -0.71
     Protector
    -0.68
     whining
    -0.63
     Legions
    -0.62
     cutter
    -0.60
     Submission
    -0.59
     vice
    -0.58
     Bok
    -0.58
     whine
    -0.57
     hating
    -0.57
    POSITIVE LOGITS
    ãĥķãĤ©
    0.88
    reet
    0.83
    ãĥij
    0.82
    ãĥĥãĥĪ
    0.80
    ocr
    0.77
    ãĤ§
    0.76
    AMD
    0.75
    odox
    0.75
    vier
    0.73
     teasp
    0.70
    Activations Density 0.984%

    No Known Activations