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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 3213
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    Explanations

    sentences related to comparisons or findings using analytical or scientific language

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific analysis or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ðŁ
    -0.64
    Buzz
    -0.63
    Thumbnail
    -0.62
     dystop
    -0.62
     inspires
    -0.61
    yt
    -0.61
    omics
    -0.59
    AFP
    -0.59
     explores
    -0.58
    é»Ĵ
    -0.58
    POSITIVE LOGITS
     residual
    0.61
     maintenance
    0.59
     defective
    0.58
     supra
    0.57
     Maintenance
    0.57
     CLR
    0.56
     HW
    0.56
     improper
    0.56
     facult
    0.56
     supplementary
    0.55
    Activations Density 1.518%

    No Known Activations