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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. 1-RES-JB
    6. 14278
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    Explanations

    references to the streaming platform "Hulu"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of streaming services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Values
    -0.76
    Roll
    -0.75
    METHOD
    -0.69
    Organ
    -0.69
    mony
    -0.68
    Drug
    -0.66
    making
    -0.66
    Cru
    -0.64
    Break
    -0.62
    thought
    -0.62
    POSITIVE LOGITS
    ulu
    1.18
    wana
    0.94
    awei
    0.84
    yip
    0.82
     Nadu
    0.81
    usk
    0.79
    arde
    0.78
     mosqu
    0.73
    asar
    0.72
    etsk
    0.71
    Activations Density 0.008%

    No Known Activations