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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. 6983
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    Explanations

    words related to livestock farming

    oai_token-act-pair · gpt-3.5-turbo

    references to livestock, particularly cattle and sheep

    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
     unlaw
    -0.78
     Fiction
    -0.77
    ioxide
    -0.74
     Bleach
    -0.71
    BuyableInstoreAndOnline
    -0.70
     explan
    -0.70
     UM
    -0.68
    AMI
    -0.67
    SPONSORED
    -0.65
     fortun
    -0.64
    POSITIVE LOGITS
     grazing
    1.24
    skin
    1.17
     pasture
    1.16
     graz
    1.10
     manure
    1.07
     herds
    1.05
     herd
    1.05
     ranch
    1.04
     ranc
    1.02
     gra
    1.00
    Activations Density 0.047%

    No Known Activations