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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. 3209
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    Explanations

    proper names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly individuals' names

    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
    terday
    -0.74
    uria
    -0.67
    anwhile
    -0.65
    éĥ
    -0.63
     parity
    -0.62
     wise
    -0.60
     correctness
    -0.60
    éĹĺ
    -0.60
    urrencies
    -0.59
    76561
    -0.59
    POSITIVE LOGITS
    verse
    0.95
    onian
    0.91
    leys
    0.86
    stown
    0.85
    sonian
    0.85
     Brothers
    0.83
    issance
    0.79
     River
    0.79
    nian
    0.79
    ville
    0.75
    Activations Density 0.229%

    No Known Activations