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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. 10-RES-JB
    11. 1008
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    Explanations

    phrases related to actions or plans involving a group

    oai_token-act-pair · gpt-3.5-turbo

    frequent uses of the word "we."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¿½
    -0.73
    ocl
    -0.68
     Rowe
    -0.60
    forms
    -0.60
    ricular
    -0.60
     Flavoring
    -0.60
    tains
    -0.59
    aryl
    -0.58
     manifests
    -0.58
     firsthand
    -0.57
    POSITIVE LOGITS
    're
    1.42
     gotta
    1.34
    asel
    1.22
    eeee
    1.22
    'll
    1.22
     ain
    1.17
    ird
    1.15
    athered
    1.10
    bsite
    1.09
     gonna
    1.09
    Activations Density 0.186%

    No Known Activations