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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. 3-RES-JB
    11. 9599
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    Explanations

    customer service interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to customer service interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.79
    laus
    -0.76
     Osc
    -0.72
     Pill
    -0.69
    apo
    -0.69
     Glob
    -0.67
    ktop
    -0.66
    unda
    -0.65
     Nanto
    -0.64
     Barkley
    -0.64
    POSITIVE LOGITS
    atical
    1.01
    ele
    0.99
     customers
    0.84
     customer
    0.79
     satisfaction
    0.77
     refunds
    0.76
     service
    0.75
     Satisf
    0.74
     loyalty
    0.71
    isitions
    0.70
    Activations Density 0.016%

    No Known Activations