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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. 2-RES-JB
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    Explanations

    references to a specific location, particularly "Oregon"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Oregon

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hare
    -0.96
    bler
    -0.83
    BOOK
    -0.79
    maid
    -0.75
    uds
    -0.71
    pter
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
    fare
    -0.67
    SHIP
    -0.67
    ple
    -0.66
    POSITIVE LOGITS
     Oregon
    1.15
     Ducks
    1.01
    Oregon
    1.00
     State
    0.95
     Timbers
    0.93
    sylvania
    0.88
     Hills
    0.84
     Humane
    0.80
     Health
    0.78
     Rapids
    0.75
    Activations Density 0.008%

    No Known Activations