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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. 2-RES-JB
    11. 6708
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    Explanations

    references to wooden objects or structures

    oai_token-act-pair · gpt-3.5-turbo

    references to wooden materials and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    States
    -0.78
    CVE
    -0.76
    INA
    -0.76
    luent
    -0.73
    usions
    -0.73
    itia
    -0.72
    inas
    -0.72
    HER
    -0.70
    inion
    -0.70
    Putin
    -0.69
    POSITIVE LOGITS
     wooden
    1.16
     bamboo
    0.98
     coffin
    0.95
     plaque
    0.94
     plank
    0.89
     wood
    0.87
     spoon
    0.85
     furniture
    0.85
     beams
    0.83
     dow
    0.82
    Activations Density 0.008%

    No Known Activations