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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. 6-RES-JB
    11. 13607
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    Explanations

    words related to competitions or events, particularly those involving awards or recognition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal and competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bats
    -0.87
    odox
    -0.76
     Stain
    -0.76
    Cry
    -0.76
    DEP
    -0.75
    neck
    -0.75
    lust
    -0.74
     Atmosp
    -0.71
     Canaver
    -0.69
     Leth
    -0.69
    POSITIVE LOGITS
     equivalents
    0.83
     tv
    0.78
     diploma
    0.73
     dime
    0.71
     counterparts
    0.69
     entertainment
    0.68
     bureaucrats
    0.68
     bureaucracy
    0.68
     plea
    0.67
     spectacle
    0.67
    Activations Density 0.215%

    No Known Activations