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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. 846
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    INDEX
    Explanations

    instances of words related to repeating or returning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reprisal or reprising roles

    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
    ¾
    -0.77
    ihu
    -0.76
    nea
    -0.72
    ica
    -0.71
    ¹
    -0.71
    anus
    -0.69
    regulated
    -0.67
    rid
    -0.66
    enza
    -0.66
    taboola
    -0.65
    POSITIVE LOGITS
    OUN
    0.78
    xtap
    0.74
     Mechdragon
    0.71
    arna
    0.70
     remembrance
    0.70
    Os
    0.70
    prise
    0.69
    ãĤ©
    0.69
    ILS
    0.68
    strument
    0.67
    Activations Density 0.054%

    No Known Activations