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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. 6-RES-JB
    11. 504
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    INDEX
    Explanations

    names of retail stores and supermarkets

    oai_token-act-pair · gpt-3.5-turbo

    references to popular retail and food brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iframe
    -0.69
    ibilities
    -0.68
    Reviewer
    -0.68
     spirited
    -0.68
    ajor
    -0.67
     fuzz
    -0.65
     IPCC
    -0.63
    Filename
    -0.61
    irlf
    -0.60
     downt
    -0.60
    POSITIVE LOGITS
     Stores
    1.43
    Cola
    1.16
     Restaur
    1.13
     stores
    1.08
     Shopping
    0.96
     Holdings
    0.96
     Store
    0.92
    Store
    0.91
     store
    0.89
     Foods
    0.88
    Activations Density 0.117%

    No Known Activations