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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. 9-RES-JB
    6. 2104
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    INDEX
    Explanations

    phrases related to rules, regulations, and processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to character development in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    was
    -0.67
     remembers
    -0.65
    laughs
    -0.65
    Its
    -0.64
     loses
    -0.63
     sleeps
    -0.63
     prefers
    -0.62
     blames
    -0.62
     thinks
    -0.62
     Goes
    -0.62
    POSITIVE LOGITS
     themselves
    1.19
     respectively
    1.13
     collectively
    1.04
     individually
    0.94
     respective
    0.92
     varying
    0.82
     constitute
    0.82
    geries
    0.80
    selves
    0.79
     together
    0.79
    Activations Density 0.862%

    No Known Activations