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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. 11-RES-JB
    11. 3838
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    Explanations

    words related to geographical locations and environmental features

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ecological and geographical descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iaz
    -0.62
     $_
    -0.61
     CPS
    -0.61
    LM
    -0.61
    Bloomberg
    -0.61
     DOJ
    -0.60
    obin
    -0.60
    Vice
    -0.60
    IGN
    -0.60
    Machine
    -0.60
    POSITIVE LOGITS
     forests
    1.25
     vegetation
    1.24
     grazing
    1.23
     woodland
    1.20
     herds
    1.17
     habitat
    1.17
     wetlands
    1.15
     farmland
    1.12
     lakes
    1.11
     pasture
    1.10
    Activations Density 0.957%

    No Known Activations