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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. 9-RES-JB
    11. 24247
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    INDEX
    Explanations

    phrases related to manufacturing processes, tools, and materials

    oai_token-act-pair · gpt-3.5-turbo

    terms related to manufacturing and craftsmanship

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    inventoryQuantity
    -0.76
    leep
    -0.70
    izoph
    -0.68
     Span
    -0.68
     Couch
    -0.65
    isSpecialOrderable
    -0.65
     Byrne
    -0.64
     polarization
    -0.64
     ACL
    -0.64
    uates
    -0.64
    POSITIVE LOGITS
     manufacturing
    1.24
    ineries
    1.15
     manufacture
    1.14
     labou
    1.13
     factories
    1.12
    inery
    1.10
     manufactures
    1.07
     crafts
    1.07
     Manufact
    1.05
     factory
    1.05
    Activations Density 0.525%

    No Known Activations