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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. 4-RES-JB
    11. 2571
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    Explanations

    proper nouns related to names and locations, with a focus on 'Ny' and 'Ek'

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of specific names and terms, particularly those beginning with "Ny" and "Cly."

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

    No Comments

    Negative Logits
    eering
    -0.87
    ably
    -0.81
    OPLE
    -0.78
    ++++++++++++++++
    -0.78
    IBLE
    -0.75
    ÙĦ
    -0.73
    د
    -0.72
    tenance
    -0.68
    urdue
    -0.68
    TAIN
    -0.67
    POSITIVE LOGITS
     Ny
    1.05
    quist
    0.91
    ota
    0.82
    comed
    0.80
    heter
    0.79
    borg
    0.79
    seys
    0.77
    chel
    0.73
    strom
    0.73
    gard
    0.72
    Activations Density 0.012%

    No Known Activations