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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. 4-RES-JB
    11. 19892
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    Explanations

    words related to the supply of goods or resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various types of supplies

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

    No Comments

    Negative Logits
    nings
    -0.65
    -|
    -0.65
    ĸļ
    -0.64
    ĵĺ
    -0.63
    ovi
    -0.63
    hao
    -0.62
    ower
    -0.62
    soType
    -0.61
    boxing
    -0.60
    ussen
    -0.60
    POSITIVE LOGITS
     goods
    0.93
     sorts
    0.76
     commodities
    0.76
    productive
    0.70
    eer
    0.69
     surplus
    0.69
     nutrients
    0.68
     Dollars
    0.68
     subsidized
    0.67
     Goods
    0.67
    Activations Density 0.299%

    No Known Activations