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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. 13373
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    Explanations

    specific mentions of legal or regulatory terms related to communications

    oai_token-act-pair · gpt-3.5-turbo

    references to communications legislation and policies

    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
    gling
    -0.82
    resses
    -0.74
    unts
    -0.73
    jury
    -0.72
     Naples
    -0.72
    steen
    -0.71
    private
    -0.71
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.70
    iless
    -0.69
    Äį
    -0.69
    POSITIVE LOGITS
    communications
    1.12
     communications
    0.99
    cape
    0.90
    communication
    0.87
     Communications
    0.85
     VIDEOS
    0.84
    mith
    0.83
     communication
    0.82
     messages
    0.81
     chipset
    0.81
    Activations Density 0.012%

    No Known Activations