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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. 6030
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    Explanations

    terms related to groups of animals or people

    oai_token-act-pair · gpt-3.5-turbo

    terms related to groups of animals, particularly in a herd or flock context

    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
     dism
    -0.80
     satell
    -0.74
    ccording
    -0.72
    acter
    -0.69
     accur
    -0.68
    uyomi
    -0.65
     vaginal
    -0.65
     resin
    -0.64
     grip
    -0.64
     unsuccessfully
    -0.62
    POSITIVE LOGITS
     herd
    1.10
    ings
    1.03
    ers
    0.93
     herds
    0.93
    share
    0.83
    erness
    0.82
     Animals
    0.79
     animals
    0.78
     flock
    0.78
    ership
    0.78
    Activations Density 0.015%

    No Known Activations