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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. 3-RES-JB
    11. 6110
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    INDEX
    Explanations

    instances of the word "rooted" followed by various contexts, such as locations, feelings, and philosophical beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize being established or based in certain concepts or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.82
    umbn
    -0.69
     Commissioners
    -0.68
    tein
    -0.68
     MARK
    -0.66
     Correction
    -0.65
    verages
    -0.65
    nesota
    -0.65
    essions
    -0.65
    resso
    -0.64
    POSITIVE LOGITS
     rooted
    0.93
     rooting
    0.78
    kit
    0.74
     ingrained
    0.72
    SourceFile
    0.71
     roots
    0.69
     Roots
    0.69
     behind
    0.67
     embedded
    0.66
    pak
    0.64
    Activations Density 0.006%

    No Known Activations