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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. 8-RES-JB
    11. 9499
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    Explanations

    terms related to commodities and their production

    oai_token-act-pair · gpt-3.5-turbo

    terms related to commodities and their production or market dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tered
    -0.88
    opal
    -0.79
    liness
    -0.72
    ooters
    -0.71
    ohan
    -0.71
    zai
    -0.68
    ovation
    -0.68
    OUT
    -0.67
    ooter
    -0.67
    ttp
    -0.67
    POSITIVE LOGITS
     commodities
    0.98
     commodity
    0.92
     futures
    0.89
    cious
    0.86
     prices
    0.82
    markets
    0.82
     exchange
    0.81
     trading
    0.75
     markets
    0.75
     trader
    0.75
    Activations Density 0.054%

    No Known Activations