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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11290
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    INDEX
    Explanations

    phrases related to flights and traveling

    oai_token-act-pair · gpt-3.5-turbo

    words related to air travel, specifically flights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oln
    -0.69
     Jah
    -0.69
    inguishable
    -0.66
    rils
    -0.64
    arious
    -0.63
    nar
    -0.62
     deeds
    -0.60
    ãĥ¤
    -0.60
    reme
    -0.60
    ificial
    -0.59
    POSITIVE LOGITS
     booking
    0.97
     Airlines
    0.96
     airliner
    0.87
     flights
    0.86
     booked
    0.82
     Arri
    0.82
     flight
    0.81
     attendant
    0.80
     commute
    0.79
     itiner
    0.79
    Activations Density 0.042%

    No Known Activations