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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. 12083
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    INDEX
    Explanations

    phrases related to various individuals and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of the word "ra" and references to economic figures and entities

    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
    kson
    -0.71
    izabeth
    -0.68
    ocene
    -0.64
     Awakens
    -0.63
    ĩ
    -0.62
     Aval
    -0.60
     Papua
    -0.60
     Matthews
    -0.60
    OTOS
    -0.59
     Swanson
    -0.59
    POSITIVE LOGITS
     sidx
    0.88
    fters
    0.87
    aca
    0.84
    eal
    0.83
    ental
    0.81
    ught
    0.79
    asar
    0.79
    idem
    0.78
     fide
    0.76
    inals
    0.76
    Activations Density 0.051%

    No Known Activations