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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. 4-RES-JB
    6. 18980
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    Explanations

    positive adjectives related to experiences or settings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pleasant experiences or feelings

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

    No Comments

    Negative Logits
    ULE
    -0.68
    arius
    -0.67
    heit
    -0.65
    canon
    -0.64
    HER
    -0.64
    ARS
    -0.63
    ithing
    -0.63
    ARE
    -0.63
    NUM
    -0.62
     HELP
    -0.62
    POSITIVE LOGITS
    ries
    1.08
     pleasant
    1.00
    lihood
    0.97
     surprises
    0.89
    terness
    0.84
     smelling
    0.80
    ãĥ¼ãĥĨ
    0.80
    pleasant
    0.80
     unpleasant
    0.79
    ness
    0.75
    Activations Density 0.019%

    No Known Activations