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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. 23136
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    Explanations

    various uses of materials or substances

    oai_token-act-pair · gpt-3.5-turbo

    words related to the usage of various materials and ingredients

    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
     NCT
    -0.82
    ĪĴ
    -0.70
     TEAM
    -0.64
    ihad
    -0.63
     ACTIONS
    -0.62
     Architects
    -0.62
     Dropbox
    -0.61
     Submission
    -0.61
     convergence
    -0.60
     Breach
    -0.59
    POSITIVE LOGITS
     commercially
    1.19
     indust
    1.09
     medic
    1.09
     indoors
    1.02
     chemically
    1.02
     fermented
    0.99
     plent
    0.99
     orally
    0.96
     chiefly
    0.96
     illegally
    0.96
    Activations Density 0.225%

    No Known Activations