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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. 3-RES-JB
    11. 16790
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    INDEX
    Explanations

    mentions of retailers or retail-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to retailers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.87
    atever
    -0.74
    sky
    -0.72
    arial
    -0.70
    thia
    -0.66
    pan
    -0.65
    lihood
    -0.64
    onies
    -0.64
    roxy
    -0.63
    immer
    -0.63
    POSITIVE LOGITS
     retailer
    1.12
     retailers
    1.07
     shoppers
    0.96
     Stores
    0.90
     stores
    0.89
     malls
    0.89
     store
    0.88
    stores
    0.88
     shelves
    0.87
    DAQ
    0.85
    Activations Density 0.009%

    No Known Activations