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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. 9-RES-JB
    11. 4768
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    contact information for customer service and emergency hotlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     divest
    -0.73
     layouts
    -0.72
     stacking
    -0.69
     symmetry
    -0.69
     gears
    -0.68
     excerpts
    -0.68
     clips
    -0.67
     reused
    -0.66
     orbits
    -0.65
    gemony
    -0.64
    POSITIVE LOGITS
     hotline
    1.55
    mbuds
    1.08
    risis
    0.96
    mbudsman
    0.93
     Crisis
    0.92
    oppers
    0.90
    Services
    0.89
     promptly
    0.87
     emergencies
    0.86
     emergency
    0.84
    Activations Density 0.353%

    No Known Activations