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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. 9-RES-JB
    6. 16294
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    Explanations

    proper names or abbreviations of various individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.72
     Cerberus
    -0.67
     respectively
    -0.65
     awoken
    -0.63
     ''
    -0.63
     duty
    -0.62
     leash
    -0.61
     butterflies
    -0.61
     dumping
    -0.60
     bladder
    -0.60
    POSITIVE LOGITS
    %:
    1.14
    maxwell
    0.96
    :
    0.93
    .:
    0.88
    :[
    0.86
     laughs
    0.84
    Narr
    0.83
    Answer
    0.82
    omsky
    0.82
    Interview
    0.81
    Activations Density 0.109%

    No Known Activations