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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. 1-RES-JB
    11. 6624
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    Explanations

    keywords related to breeding processes or areas

    oai_token-act-pair · gpt-3.5-turbo

    references to breeding, particularly in various contexts relating to animals or populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inness
    -0.96
    itsch
    -0.83
    Downloadha
    -0.79
    ulhu
    -0.78
    ointed
    -0.75
    ifest
    -0.74
    hemy
    -0.72
    ournal
    -0.71
    awaru
    -0.70
    zzle
    -0.70
    POSITIVE LOGITS
     breeding
    1.45
     bred
    1.12
     breed
    0.99
    breeding
    0.91
     Breed
    0.88
     breeds
    0.82
     tigers
    0.79
     centers
    0.77
     cages
    0.76
    species
    0.75
    Activations Density 0.010%

    No Known Activations