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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. 13454
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    Explanations

    terms related to heat or high intensity, especially when combined with other words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hot-related conditions or themes

    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
    yard
    -0.71
     fold
    -0.67
    è£
    -0.66
     resemb
    -0.66
    INAL
    -0.65
    iture
    -0.64
    axter
    -0.64
    emort
    -0.63
     Pett
    -0.62
     wiser
    -0.62
    POSITIVE LOGITS
    oglobin
    0.69
     cher
    0.68
    hens
    0.66
     Rockets
    0.66
    nings
    0.63
     humid
    0.62
    atra
    0.62
    terness
    0.61
     lesbians
    0.61
    nery
    0.60
    Activations Density 0.258%

    No Known Activations