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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. 6-RES-JB
    11. 11682
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    Explanations

    references to pickup trucks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pickup trucks

    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
    âĸ¬âĸ¬
    -0.81
    âĸ¬
    -0.80
     Definitive
    -0.72
    ãĥ¥
    -0.71
    udic
    -0.70
    Sea
    -0.66
    llular
    -0.64
     Witness
    -0.63
     Britann
    -0.63
     Nanto
    -0.62
    POSITIVE LOGITS
     trucks
    1.00
     truck
    0.96
     pickup
    0.83
    loads
    0.80
    agers
    0.79
    axe
    0.79
    orters
    0.75
    dates
    0.71
     pickups
    0.68
    orter
    0.68
    Activations Density 0.034%

    No Known Activations