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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. 5-RES-JB
    6. 3747
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    INDEX
    Explanations

    phrases related to negative impacts or destruction

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wisely
    -0.72
     namely
    -0.71
    ée
    -0.68
     alone
    -0.67
    rand
    -0.63
     lets
    -0.63
     signifies
    -0.62
    icho
    -0.61
    ESPN
    -0.61
    ctl
    -0.60
    POSITIVE LOGITS
     entire
    1.42
     entirety
    1.23
     remainder
    1.16
     whole
    1.13
     slightest
    1.07
     latter
    1.06
     possibility
    1.04
     same
    1.00
     proverbial
    0.97
     notion
    0.97
    Activations Density 0.462%

    No Known Activations