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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. 11-RES-JB
    11. 23014
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    Explanations

    phrases related to customer service and support

    oai_token-act-pair · gpt-3.5-turbo

    references to customer-related concepts and support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pmwiki
    -0.68
    ooks
    -0.66
    FLAG
    -0.65
    bent
    -0.65
     Alz
    -0.64
    lahoma
    -0.64
    enberg
    -0.64
     Gree
    -0.64
    ibility
    -0.62
     Osc
    -0.62
    POSITIVE LOGITS
    ele
    1.35
     Satisf
    0.89
    erv
    0.89
    untled
    0.87
     service
    0.86
     satisfaction
    0.85
    coni
    0.84
    service
    0.83
    atical
    0.81
     Loyal
    0.81
    Activations Density 0.064%

    No Known Activations