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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
    11. 22261
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    Explanations

    names related to a specific organization or person, likely "Shin Bet"

    oai_token-act-pair · gpt-3.5-turbo

    the term "Shin," likely in the context of a security agency or organization

    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
    utics
    -0.84
    rency
    -0.81
    utic
    -0.77
     Hurricanes
    -0.74
     Pwr
    -0.73
    anwhile
    -0.72
    ãĤ¡
    -0.71
    nces
    -0.70
    aneers
    -0.69
    address
    -0.69
    POSITIVE LOGITS
    Shin
    1.13
     Shin
    0.97
    obi
    0.97
    omi
    0.89
    ook
    0.82
    eless
    0.82
    aman
    0.81
    etsu
    0.78
    emen
    0.75
    jin
    0.73
    Activations Density 0.009%

    No Known Activations