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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "everyday" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to routine or common experiences in daily life

    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
    aye
    -0.79
    ettle
    -0.77
    zik
    -0.77
    owitz
    -0.76
    essee
    -0.74
    phabet
    -0.73
    egal
    -0.73
    bett
    -0.69
    enic
    -0.69
    atorial
    -0.68
    POSITIVE LOGITS
     everyday
    1.08
     Everyday
    0.93
    motion
    0.84
    etheless
    0.84
     occurrences
    0.82
     necessities
    0.81
    ãĥīãĥ©ãĤ´ãĥ³
    0.80
    lihood
    0.80
     waking
    0.76
     occurrence
    0.74
    Activations Density 0.007%

    No Known Activations