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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
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    Explanations

    words related to flights and aircraft

    oai_token-act-pair · gpt-3.5-turbo

    references to specific flights, particularly "Flight 9."

    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
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    No Comments

    Negative Logits
    女
    -0.80
    ortium
    -0.67
    âĶĢâĶĢ
    -0.67
     Shinzo
    -0.66
    1920
    -0.66
    xus
    -0.66
    天
    -0.65
    ettings
    -0.64
    itol
    -0.64
    essee
    -0.64
    POSITIVE LOGITS
     Flight
    1.09
     flights
    1.04
     flight
    1.03
    plane
    1.03
    crew
    1.02
    planes
    0.96
     attendants
    0.91
    Flight
    0.86
     attendant
    0.85
     cancell
    0.84
    Activations Density 0.018%

    No Known Activations