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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. 7-RES-JB
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    Explanations

    phrases related to the company Wal-Mart

    oai_token-act-pair · gpt-3.5-turbo

    references to Walmart

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    worldly
    -0.72
    gravity
    -0.70
    restrial
    -0.69
    achev
    -0.67
    irlf
    -0.67
    minus
    -0.66
    iliar
    -0.65
    yip
    -0.65
    è¦ļéĨĴ
    -0.64
    iframe
    -0.64
    POSITIVE LOGITS
    Street
    0.77
    ecake
    0.70
    Mart
    0.70
    street
    0.70
     Stores
    0.68
    cott
    0.67
     nails
    0.67
    steen
    0.65
    wagen
    0.65
    idge
    0.64
    Activations Density 0.125%

    No Known Activations