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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 20575
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    INDEX
    Explanations

    terms related to masonry and construction materials, particularly "mortar"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and terms related to construction materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etics
    -0.81
    ector
    -0.79
    etic
    -0.77
    Chel
    -0.74
    competitive
    -0.73
    contract
    -0.73
    esis
    -0.72
    rex
    -0.71
    translation
    -0.71
    etimes
    -0.69
    POSITIVE LOGITS
     mortar
    0.78
     reef
    0.76
     cones
    0.75
     mounting
    0.75
     pine
    0.73
     Sunder
    0.72
     Lanka
    0.71
     Carbuncle
    0.71
     mold
    0.70
     reefs
    0.70
    Activations Density 0.027%

    No Known Activations