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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. 7-RES-JB
    11. 2910
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    INDEX
    Explanations

    proper nouns, likely related to companies, products, or people

    oai_token-act-pair · gpt-3.5-turbo

    brand names or company names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mandate
    -0.65
     convenient
    -0.58
     warranty
    -0.58
     supporting
    -0.58
     Democr
    -0.58
     gradient
    -0.57
     worthwhile
    -0.57
     rainbow
    -0.56
     rewarding
    -0.55
     lightly
    -0.55
    POSITIVE LOGITS
    iba
    0.77
    olver
    0.76
    owa
    0.72
    agen
    0.71
    leys
    0.69
    ife
    0.69
    avia
    0.67
    eka
    0.65
    tis
    0.65
    uana
    0.65
    Activations Density 0.336%

    No Known Activations