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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. 4-RES-JB
    11. 4631
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    Explanations

    terms related to environmental conservation and anti-poaching efforts

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to wildlife endangerment and conservation issues

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

    No Comments

    Negative Logits
    VID
    -0.68
     Cyber
    -0.67
    Rog
    -0.66
     algebra
    -0.66
    ĪĴ
    -0.65
    issance
    -0.65
     Levin
    -0.64
     Divinity
    -0.64
     Rand
    -0.64
    cipled
    -0.64
    POSITIVE LOGITS
     fisher
    0.87
     breeding
    0.85
     herds
    0.85
     bred
    0.84
     livestock
    0.82
     harvested
    0.82
     habitat
    0.82
     harvesting
    0.82
     harvest
    0.81
     wildlife
    0.81
    Activations Density 0.199%

    No Known Activations