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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
    11. 16415
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    Explanations

    phrases related to a specific restaurant, "Across the Street Diner"

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of "diners" or dining establishments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    hovah
    -1.00
    akening
    -0.73
    sheet
    -0.72
    ODUCT
    -0.72
    soDeliveryDate
    -0.71
    ecause
    -0.70
    sheets
    -0.65
    spring
    -0.64
    painted
    -0.62
    enegger
    -0.62
    POSITIVE LOGITS
    iner
    1.06
    lein
    0.89
    hoe
    0.88
    iners
    0.86
    idge
    0.77
    stein
    0.77
    ator
    0.76
    aton
    0.76
    berg
    0.75
    TAIN
    0.75
    Activations Density 0.011%

    No Known Activations