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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. 23510
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    Explanations

    references to the term "Common Core."

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Common" in various contexts

    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
    Ń·
    -0.84
    choes
    -0.72
    ackers
    -0.70
    agate
    -0.69
     Janeiro
    -0.68
    pora
    -0.68
    agnar
    -0.66
    EGA
    -0.65
    otos
    -0.65
    nikov
    -0.64
    POSITIVE LOGITS
    wealth
    1.04
    ensical
    1.03
    Parameters
    0.91
     Common
    0.90
    ly
    0.76
    Sense
    0.74
     Lisp
    0.74
    enough
    0.71
    Common
    0.71
    alities
    0.70
    Activations Density 0.009%

    No Known Activations