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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. 7-RES-JB
    6. 1925
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    Explanations

    the superlative form of adjectives for sizes or quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote entities recognized as the largest in their respective categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jad
    -0.82
    fen
    -0.78
    chy
    -0.76
    bara
    -0.74
     Mub
    -0.72
    rology
    -0.72
    earth
    -0.72
    yang
    -0.72
    neg
    -0.72
    utenant
    -0.71
    POSITIVE LOGITS
    gest
    0.92
     (>
    0.87
     scale
    0.82
     quantities
    0.81
     shareholder
    0.81
     chunk
    0.81
     swath
    0.79
     obstacle
    0.79
     portion
    0.78
     denomination
    0.77
    Activations Density 0.034%

    No Known Activations