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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. 10-RES-JB
    11. 13674
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    Explanations

    words related to specific names or terms, potentially related to locations or people

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Br" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.83
     lockout
    -0.70
     Uriel
    -0.67
     concess
    -0.64
    rogens
    -0.63
     Pradesh
    -0.62
     hunger
    -0.60
     caucuses
    -0.60
    ©¶æ
    -0.59
     seiz
    -0.59
    POSITIVE LOGITS
    swick
    1.08
    zinski
    1.04
    sels
    1.01
    itte
    0.92
    ë
    0.90
    olini
    0.87
    gger
    0.84
    leness
    0.84
    wine
    0.83
    combe
    0.83
    Activations Density 0.078%

    No Known Activations