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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. 23405
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    INDEX
    Explanations

    superlatives and comparative terms like "fastest," "best," "longest," and "lowest" in a comparative context

    oai_token-act-pair · gpt-3.5-turbo

    superlative adjectives indicating extremes in growth or ranking

    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
     Indigo
    -0.68
     Bullets
    -0.67
     Marble
    -0.65
     glasses
    -0.63
     à¨
    -0.63
     Courier
    -0.62
     Borders
    -0.61
     flashback
    -0.61
     Powder
    -0.60
     Daylight
    -0.60
    POSITIVE LOGITS
    selling
    1.35
    ever
    1.33
    performing
    1.29
    funded
    1.28
    known
    1.22
    ranked
    1.21
    rated
    1.15
    available
    1.15
    recogn
    1.13
    paid
    1.13
    Activations Density 0.076%

    No Known Activations