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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. 19455
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    Explanations

    names of technological products, especially those involving the brand "Ti"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or models of technology, particularly graphics cards

    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
    ingly
    -0.98
    edly
    -0.87
    s
    -0.80
    roads
    -0.77
    shire
    -0.77
    pherd
    -0.75
    er
    -0.75
    suits
    -0.74
    naires
    -0.74
    ously
    -0.74
    POSITIVE LOGITS
    Vo
    0.84
    pler
    0.82
    ague
    0.78
    Ti
    0.70
    OTA
    0.67
     Bras
    0.67
    anu
    0.65
     Leafs
    0.65
     Lank
    0.64
     Gael
    0.62
    Activations Density 0.052%

    No Known Activations