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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. 11-RES-JB
    11. 21333
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    Explanations

    architectural elements or structures

    oai_token-act-pair · gpt-3.5-turbo

    references to architecture and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Kamp
    -0.61
     beware
    -0.61
     reins
    -0.60
     vacc
    -0.58
     labeling
    -0.58
     charged
    -0.57
     barrel
    -0.56
     cane
    -0.55
     liking
    -0.55
    ters
    -0.55
    POSITIVE LOGITS
    ipel
    1.75
    bishop
    1.54
    ival
    1.40
    itect
    1.32
    ivist
    1.31
    ived
    1.26
    iving
    1.22
    rival
    1.15
    di
    1.14
    mage
    1.09
    Activations Density 0.025%

    No Known Activations