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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. 15294
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    Explanations

    words related to tracking or following, potentially in the context of investigation or pursuit

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tra" or related prefixes in various contexts

    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
     Pwr
    -0.79
    CLUD
    -0.67
     Kerr
    -0.65
     unconditional
    -0.64
     Granger
    -0.63
     author
    -0.62
     proportional
    -0.62
    manship
    -0.62
    nard
    -0.60
     ellipt
    -0.60
    POSITIVE LOGITS
    Tra
    0.96
    verse
    0.96
    ilst
    0.88
    quel
    0.87
    tra
    0.85
    ffic
    0.85
    vert
    0.84
    pped
    0.83
    pping
    0.82
    umat
    0.81
    Activations Density 0.005%

    No Known Activations