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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8827
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    Explanations

    numbers with decimals

    oai_token-act-pair · gpt-3.5-turbo

    rarity or uniqueness in context, particularly in regards to percentages and classifications

    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
     shrinking
    -0.71
    ĺħ
    -0.68
     Kard
    -0.68
     dotted
    -0.66
     truck
    -0.66
     centrif
    -0.63
     Ford
    -0.62
     Journal
    -0.62
     succeeding
    -0.61
     later
    -0.61
    POSITIVE LOGITS
    perty
    0.89
    aroo
    0.86
    thia
    0.83
    brate
    0.79
    asper
    0.78
    chieve
    0.78
    istration
    0.77
    rama
    0.76
    brates
    0.76
    pex
    0.74
    Activations Density 0.075%

    No Known Activations