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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15605
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    Explanations

    terms related to different types of resources, particularly commodities like fuel, grain, oil, and rice

    oai_token-act-pair · gpt-3.5-turbo

    terms related to commodities and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.86
    ealous
    -0.76
    natureconservancy
    -0.75
    unct
    -0.70
    visible
    -0.67
    ongevity
    -0.67
    cknow
    -0.65
     notch
    -0.64
    athetic
    -0.62
     haunt
    -0.61
    POSITIVE LOGITS
     goods
    1.13
     supplies
    1.10
     parcels
    1.05
     cheaply
    1.05
     products
    1.04
     destined
    0.99
     shipments
    0.95
     commodities
    0.95
     abroad
    0.95
     cartridges
    0.95
    Activations Density 0.342%

    No Known Activations