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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. 17655
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    INDEX
    Explanations

    phrases indicating a certain level or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    quantifiers and articles indicating amounts or qualities

    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
    RAW
    -0.80
    aris
    -0.77
    EDIT
    -0.74
    ULTS
    -0.73
     sorts
    -0.72
    mins
    -0.71
    20439
    -0.70
    ulously
    -0.70
    CTV
    -0.70
    aturday
    -0.69
    POSITIVE LOGITS
     deterrent
    1.00
     nuisance
    0.99
     tease
    0.98
     coincidence
    0.96
     stretch
    0.92
     gamble
    0.90
     hassle
    0.88
     novelty
    0.87
     burden
    0.87
     mystery
    0.87
    Activations Density 0.080%

    No Known Activations