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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. 6166
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    Explanations

    words related to specific animals, particularly marine and wildlife

    oai_token-act-pair · gpt-3.5-turbo

    references to endangered or threatened animals

    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
    ür
    -0.81
    oppable
    -0.80
    ento
    -0.77
    ablishment
    -0.75
    office
    -0.75
    stanbul
    -0.74
    oyer
    -0.73
    ãĥŀ
    -0.73
    dirty
    -0.72
    blance
    -0.71
    POSITIVE LOGITS
     species
    1.32
     carc
    1.24
     larvae
    1.20
     habitat
    1.20
     calves
    1.20
     herds
    1.14
     calf
    1.14
     beetle
    1.13
     fossils
    1.11
     populations
    1.11
    Activations Density 0.169%

    No Known Activations