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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. 2678
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    Explanations

    text related to technological advancements and innovations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating technological advancements and comparisons to traditional methods

    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
    Fest
    -0.78
    justice
    -0.73
     Palin
    -0.70
     Morty
    -0.67
     Shame
    -0.65
     Farage
    -0.65
    Gay
    -0.65
     Grayson
    -0.65
     UKIP
    -0.64
     Merry
    -0.64
    POSITIVE LOGITS
     inefficient
    1.15
     bulky
    1.09
     technologies
    1.08
     cumbersome
    1.08
     proprietary
    1.08
     technology
    1.02
     conventional
    1.00
     technologically
    1.00
     centralized
    0.99
     computational
    0.99
    Activations Density 0.998%

    No Known Activations