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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. 10-RES-JB
    11. 9300
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    Explanations

    positive adjectives related to the quality of things

    oai_token-act-pair · gpt-3.5-turbo

    references to artistic elements and quality in visual and performance arts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatus
    -0.78
     Costs
    -0.75
    ipation
    -0.73
    inventoryQuantity
    -0.66
    wives
    -0.66
     Drinking
    -0.66
    itters
    -0.66
     swall
    -0.66
    packing
    -0.65
    stakes
    -0.65
    POSITIVE LOGITS
     impecc
    1.24
     reminiscent
    1.19
     flawless
    1.11
     unchanged
    1.08
     admirable
    1.01
     superb
    0.99
     crisp
    0.99
     impressive
    0.97
     exquisite
    0.97
     gorgeous
    0.97
    Activations Density 0.262%

    No Known Activations