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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. 4827
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    Explanations

    superlatives, such as "most", in a given context

    oai_token-act-pair · gpt-3.5-turbo

    superlative terms indicating the highest degree or intensity of a characteristic

    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
     Tracks
    -0.79
    zek
    -0.71
    ortunately
    -0.71
    Þ
    -0.68
     Seym
    -0.67
    tif
    -0.65
    dd
    -0.64
    ategories
    -0.64
    ijk
    -0.64
    aven
    -0.63
    POSITIVE LOGITS
    liest
    0.97
     possible
    0.93
    hest
    0.86
     amount
    0.84
     conceivable
    0.78
     practicable
    0.78
     bang
    0.76
    iest
    0.75
    igators
    0.75
     imaginable
    0.74
    Activations Density 0.093%

    No Known Activations