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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4350
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    INDEX
    Explanations

    Words or phrases containing the term "round-"

    oai_token-act-pair · gpt-3.5-turbo

    instances of negativity or adverse conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hunger
    -0.74
    HCR
    -0.73
     Mandal
    -0.72
     Wyn
    -0.69
     spont
    -0.69
     hospitality
    -0.68
    ITNESS
    -0.67
     Confederation
    -0.65
     CES
    -0.64
     Vu
    -0.64
    POSITIVE LOGITS
    based
    1.28
    tree
    1.13
    cutting
    1.12
    bottom
    1.07
    wise
    1.06
    sized
    1.04
    cut
    1.03
    related
    0.99
    sheet
    0.99
    sensitive
    0.98
    Activations Density 0.101%

    No Known Activations