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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. 22035
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    Explanations

    words related to a particular company or brand - "Viacom"

    oai_token-act-pair · gpt-3.5-turbo

    words related to corporate entities and brands

    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
    âķIJâķIJ
    -0.76
     Seeking
    -0.68
     Taken
    -0.68
     Ryder
    -0.67
    chens
    -0.66
    yards
    -0.66
     skirts
    -0.65
    à©
    -0.63
    horn
    -0.63
    ãĤ°
    -0.63
    POSITIVE LOGITS
    entric
    1.05
    iac
    0.96
    oin
    0.94
    ritical
    0.92
    ornia
    0.92
    keye
    0.92
    omics
    0.89
    onduct
    0.88
    ycle
    0.88
    iliary
    0.87
    Activations Density 0.014%

    No Known Activations