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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. 10421
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    Explanations

    comma-separated elements in a list

    oai_token-act-pair · gpt-3.5-turbo

    instances of personal pronouns and punctuation indicating speech or dialogue

    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
     elusive
    -0.72
     viability
    -0.68
     attractiveness
    -0.65
     adoption
    -0.64
     Landing
    -0.63
     lif
    -0.63
     kidnapping
    -0.62
     rendition
    -0.62
    ORN
    -0.62
     abduction
    -0.61
    POSITIVE LOGITS
    essed
    0.84
    aca
    0.74
    felt
    0.72
    lived
    0.70
    pires
    0.70
    stood
    0.69
    ided
    0.69
    might
    0.69
    uld
    0.69
    should
    0.68
    Activations Density 0.206%

    No Known Activations