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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. 6-RES-JB
    11. 4142
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    Explanations

    mentions of the supply of goods or services, particularly related to trade and distribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to supplies and distribution

    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
    boxing
    -0.75
    soType
    -0.72
    ĸļ
    -0.71
    ulhu
    -0.66
    -|
    -0.66
    acci
    -0.65
    DEV
    -0.64
    axis
    -0.64
    ipedia
    -0.64
    acio
    -0.63
    POSITIVE LOGITS
     goods
    1.27
     groceries
    0.93
     commodities
    0.91
     Goods
    0.84
     surplus
    0.82
     medicines
    0.82
     contraceptives
    0.82
     licences
    0.80
     smuggled
    0.78
     products
    0.78
    Activations Density 0.195%

    No Known Activations