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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. 14023
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    Explanations

    words related to geographical locations or entities such as names of places and organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms related to a particular field or context, likely focused on certain individuals or entities

    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
    DragonMagazine
    -0.77
    FACE
    -0.76
    issance
    -0.73
    Berry
    -0.71
    女
    -0.70
    ercise
    -0.70
     Bagg
    -0.69
    Downloadha
    -0.68
    cling
    -0.64
    netflix
    -0.62
    POSITIVE LOGITS
     Sek
    1.01
    imura
    0.93
    ozy
    0.88
    umar
    0.82
    unin
    0.81
    orea
    0.79
    ken
    0.78
    achi
    0.76
    osi
    0.72
    iban
    0.71
    Activations Density 0.008%

    No Known Activations