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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. 1-RES-JB
    11. 11438
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    Explanations

    phrases related to products being on shelves

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "shelves" in the context of products or items available for display

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nel
    -0.69
     Trib
    -0.69
    nell
    -0.68
     oral
    -0.68
    SL
    -0.67
    roe
    -0.64
    IENT
    -0.63
    SHIP
    -0.62
     AAA
    -0.61
    slow
    -0.61
    POSITIVE LOGITS
     shelves
    1.79
     shelf
    1.04
    uggest
    0.94
    ĸļ
    0.91
    mith
    0.90
     stocked
    0.88
     challeng
    0.83
     clerks
    0.81
     Crate
    0.80
    andise
    0.78
    Activations Density 0.008%

    No Known Activations