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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. 10-RES-JB
    11. 16163
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    Explanations

    references to a specific part of a vehicle

    oai_token-act-pair · gpt-3.5-turbo

    references to passengers, particularly in various contexts related to travel incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ologies
    -0.81
    mberg
    -0.73
    arios
    -0.72
    SOURCE
    -0.67
    ptions
    -0.66
     Raise
    -0.66
    putable
    -0.64
     Grass
    -0.64
    Ĵ
    -0.63
    ét
    -0.63
    POSITIVE LOGITS
     passenger
    1.09
     ferry
    1.05
     cabin
    1.04
     airliner
    1.03
     onboard
    1.02
     pigeon
    1.00
     passengers
    0.99
     compartment
    0.98
     airlines
    0.97
     disembark
    0.96
    Activations Density 0.034%

    No Known Activations