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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. 24537
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    Explanations

    phrases related to smoothness and precision

    oai_token-act-pair · gpt-3.5-turbo

    references to smoothness or related quality attributes in various contexts

    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
     sidx
    -0.83
    inez
    -0.76
    gdala
    -0.71
     Candle
    -0.68
    redients
    -0.67
    agine
    -0.64
    vernment
    -0.63
     TAM
    -0.61
    acons
    -0.59
     Dresden
    -0.58
    POSITIVE LOGITS
     sailing
    1.29
     transitions
    1.13
     transition
    1.02
    ness
    0.97
    ie
    0.95
    ies
    0.95
     smooth
    0.88
     scrolling
    0.86
    edo
    0.85
    kered
    0.84
    Activations Density 0.043%

    No Known Activations