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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. 8688
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    Explanations

    terms related to a specific topic mentioned as "GN."

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the acronym "GN" and its variations related to the nuclear energy sector

    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
    lies
    -0.73
     Wink
    -0.71
    idas
    -0.70
    isSpecialOrderable
    -0.70
    orney
    -0.68
    quer
    -0.68
    cot
    -0.67
    bell
    -0.66
    mins
    -0.62
    minist
    -0.61
    POSITIVE LOGITS
    SS
    0.86
    ocide
    0.85
    ostic
    0.85
    umeric
    0.79
    andan
    0.77
    OME
    0.77
    ³
    0.77
    reens
    0.76
    vernment
    0.75
    ERAL
    0.75
    Activations Density 0.028%

    No Known Activations