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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. 10802
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    Explanations

    words related to clarity and understanding

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to clarity and understanding

    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
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    No Comments

    Negative Logits
    bucks
    -0.70
    anova
    -0.68
     stunts
    -0.64
    cules
    -0.64
    unte
    -0.63
    Particip
    -0.63
    ammad
    -0.62
     gangs
    -0.61
     tyr
    -0.61
    inse
    -0.60
    POSITIVE LOGITS
     clarity
    1.09
    20439
    0.96
    ible
    0.87
     artic
    0.83
    eyed
    0.79
    text
    0.78
    omatic
    0.76
    ened
    0.73
     MX
    0.73
    arity
    0.72
    Activations Density 0.057%

    No Known Activations