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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. 10-RES-JB
    11. 2661
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    Explanations

    mentions of specific farming-related terms and concepts, such as agriculture, farmers, and farm operations

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to agricultural practices and management

    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
    Blake
    -1.00
    VPN
    -0.98
     Ghostbusters
    -0.88
     Blake
    -0.88
     Comey
    -0.88
    obin
    -0.85
     Persona
    -0.84
     Spectre
    -0.84
    gencies
    -0.83
    igmat
    -0.82
    POSITIVE LOGITS
     farms
    2.10
     farmers
    2.07
     farmer
    2.00
     farm
    1.99
     farming
    1.97
    Farm
    1.94
     crops
    1.89
     agricultural
    1.89
     pasture
    1.86
     agriculture
    1.86
    Activations Density 0.734%

    No Known Activations