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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. 11-RES-JB
    11. 4108
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    Explanations

    items related to physical objects and materials

    oai_token-act-pair · gpt-3.5-turbo

    references to physical objects and their descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Investor
    -0.80
    agonist
    -0.79
    eanor
    -0.78
    ologue
    -0.77
    abase
    -0.73
    rower
    -0.71
    hander
    -0.69
    TION
    -0.69
    ertation
    -0.69
    cture
    -0.68
    POSITIVE LOGITS
     vans
    1.35
     tents
    1.33
     carts
    1.30
     chairs
    1.30
     trucks
    1.29
     jackets
    1.28
     desks
    1.26
     helmets
    1.23
     boxes
    1.23
     trailers
    1.22
    Activations Density 0.391%

    No Known Activations