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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. 8-RES-JB
    11. 1801
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    INDEX
    Explanations

    references to technology products like bikes, laptops, smartphones, and computers

    oai_token-act-pair · gpt-3.5-turbo

    specific types of consumer electronics and vehicles

    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
    rawdownloadcloneembedreportprint
    -0.82
    atorium
    -0.75
     disturbance
    -0.71
     bluff
    -0.67
     rapport
    -0.67
     compulsion
    -0.61
     annexation
    -0.61
    METHOD
    -0.60
     enrichment
    -0.60
    gee
    -0.60
    POSITIVE LOGITS
    hips
    1.17
    ets
    1.11
    aurus
    1.06
    hare
    1.03
    cale
    1.03
    peed
    1.02
     manufactured
    1.01
    chool
    1.00
     sold
    1.00
    uits
    0.99
    Activations Density 0.267%

    No Known Activations