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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. 7-RES-JB
    11. 21766
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    Explanations

    sets or collections of objects or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "set of," indicating collections or groupings of items or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.85
    oother
    -0.73
    eri
    -0.73
    Mob
    -0.72
    ptroller
    -0.70
    iva
    -0.69
     Purchase
    -0.68
    ãĥ´
    -0.68
    oldown
    -0.67
    yy
    -0.67
    POSITIVE LOGITS
     rules
    0.83
     circumstances
    0.82
     stairs
    0.82
     accommodations
    0.81
     instructions
    0.80
     parameters
    0.77
     credentials
    0.77
     steps
    0.77
     tools
    0.77
     principles
    0.76
    Activations Density 0.084%

    No Known Activations