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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. 7714
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    Explanations

    specific mentions of commodities such as "butter," "cream," "steel," etc

    oai_token-act-pair · gpt-3.5-turbo

    references to commodities and their market dynamics

    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
    zai
    -0.77
    endas
    -0.77
    tered
    -0.76
    OUT
    -0.72
    opal
    -0.72
    utter
    -0.72
    apan
    -0.71
    nee
    -0.71
    ovation
    -0.70
    gha
    -0.69
    POSITIVE LOGITS
     futures
    1.03
     commodities
    1.00
     commodity
    0.99
     prices
    0.86
     markets
    0.85
     exchange
    0.81
     shipments
    0.81
     goods
    0.80
    cious
    0.79
     trader
    0.78
    Activations Density 0.019%

    No Known Activations