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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. 2130
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    Explanations

    locations or settings described in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental elements and features

    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
    Not in Any Lists

    No Comments

    Negative Logits
    terms
    -0.93
     Pwr
    -0.79
    onent
    -0.77
    Attribute
    -0.76
    Issue
    -0.76
    nesota
    -0.75
    dose
    -0.74
    HC
    -0.74
    wake
    -0.74
    ovie
    -0.73
    POSITIVE LOGITS
     billboards
    1.38
     towering
    1.26
     warehouses
    1.26
     shops
    1.26
     benches
    1.25
     stalls
    1.24
     tents
    1.23
     boarded
    1.23
     statues
    1.22
     trees
    1.21
    Activations Density 0.313%

    No Known Activations