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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. 17275
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to insurance premiums

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Liberation
    -0.80
    Unity
    -0.77
    UE
    -0.76
    OTE
    -0.74
     Nou
    -0.73
    KNOWN
    -0.72
    URA
    -0.71
    Assembly
    -0.71
    aug
    -0.70
    Else
    -0.69
    POSITIVE LOGITS
     premiums
    1.49
     premium
    0.98
    amacare
    0.94
     skyrocket
    0.91
     prices
    0.90
     incurred
    0.90
     rates
    0.89
     reimburse
    0.89
     deduct
    0.89
     costs
    0.83
    Activations Density 0.020%

    No Known Activations