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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. 20180
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    Explanations

    phrases related to technological advancements, particularly in the realm of computers, smartphones, and related devices

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of technology and electronic devices

    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
    atorium
    -0.72
     rapport
    -0.71
    rawdownloadcloneembedreportprint
    -0.71
    natureconservancy
    -0.69
     disturbance
    -0.68
     bluff
    -0.67
    METHOD
    -0.65
     compulsion
    -0.65
     solitude
    -0.63
     Territories
    -0.62
    POSITIVE LOGITS
     manufactured
    1.17
    hips
    1.15
    hare
    1.13
    ets
    1.09
    aurus
    1.07
    peed
    1.06
     sold
    1.06
     marketed
    1.03
     costing
    1.01
    cale
    1.00
    Activations Density 0.261%

    No Known Activations