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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. 2-RES-JB
    11. 5227
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    INDEX
    Explanations

    mentions of customer-related activities and services

    oai_token-act-pair · gpt-3.5-turbo

    references to customers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.76
    FLAG
    -0.69
    olon
    -0.69
    apo
    -0.67
     Hat
    -0.67
     IMAGES
    -0.67
     Bok
    -0.66
     Zimmerman
    -0.65
     Lincoln
    -0.64
     Sul
    -0.63
    POSITIVE LOGITS
     customers
    1.03
    ele
    1.03
    umers
    0.90
     Customers
    0.85
     purchasing
    0.75
     buyers
    0.74
    atical
    0.74
     customer
    0.73
     testers
    0.73
    isine
    0.73
    Activations Density 0.019%

    No Known Activations