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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the country "Malaysia"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Malaysia

    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
    ebook
    -0.76
    ptions
    -0.74
    BOOK
    -0.73
    bern
    -0.72
    å§
    -0.70
    BAT
    -0.68
    á½
    -0.68
    Nap
    -0.67
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.66
    tower
    -0.66
    POSITIVE LOGITS
     Lumpur
    1.85
     Airlines
    1.37
     airliner
    0.90
    istani
    0.88
    daq
    0.88
    colm
    0.88
     Malays
    0.84
    awi
    0.84
     Lamp
    0.82
     airlines
    0.80
    Activations Density 0.010%

    No Known Activations