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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
    11. 17108
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    Explanations

    references to customers and customer-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    specific mentions of the word "customer" in contexts related to business and service provision

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.72
     Osc
    -0.70
     Gree
    -0.67
     Bok
    -0.66
    otin
    -0.64
    amia
    -0.62
     UNESCO
    -0.62
    apo
    -0.61
    ooks
    -0.61
     Hat
    -0.59
    POSITIVE LOGITS
    ele
    1.13
    coni
    0.86
    atical
    0.85
    untled
    0.78
    umers
    0.75
    plates
    0.75
     Satisf
    0.74
    hip
    0.73
    cript
    0.73
    ples
    0.73
    Activations Density 0.054%

    No Known Activations