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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. 18000
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    INDEX
    Explanations

    adverbs expressing a high degree or level

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that indicate frequency or certainty

    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
    Mods
    -0.75
    rongh
    -0.75
    resso
    -0.75
    ongyang
    -0.72
    ige
    -0.70
    arez
    -0.70
     GOODMAN
    -0.69
    idency
    -0.69
     Eagles
    -0.69
    aez
    -0.68
    POSITIVE LOGITS
    etheless
    1.00
     overshadowed
    0.91
     retains
    0.90
     nonetheless
    0.89
     emerges
    0.87
     depends
    0.85
     disappears
    0.84
     serves
    0.82
     dominates
    0.81
     depended
    0.81
    Activations Density 0.154%

    No Known Activations