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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. 4603
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    Explanations

    hexadecimal characters

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters related to specific chemical or molecular structures, likely in a coded or symbolic format

    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
    undai
    -0.76
    yip
    -0.71
    kson
    -0.70
    kins
    -0.69
    mma
    -0.66
    gewater
    -0.66
    ndra
    -0.66
     Buchanan
    -0.64
     Riley
    -0.64
    ctions
    -0.64
    POSITIVE LOGITS
    и
    1.43
    оÐ
    1.37
    Ñĭ
    1.37
    а
    1.25
    о
    1.22
    ÑĮ
    1.09
    Ñĥ
    1.06
    д
    1.02
    е
    1.00
    Ñı
    0.97
    Activations Density 0.022%

    No Known Activations