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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. 4-RES-JB
    11. 16850
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    Explanations

    statements indicating it's time for a specific action or change

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a call to action or a moment for change

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

    No Comments

    Negative Logits
    Introduced
    -0.82
    MK
    -0.75
    KK
    -0.73
    fo
    -0.72
    SourceFile
    -0.71
    ONSORED
    -0.71
    LM
    -0.69
     Asked
    -0.69
    lvl
    -0.68
    kernel
    -0.68
    POSITIVE LOGITS
    bidden
    1.03
    gotten
    0.89
     example
    0.86
     starters
    0.84
    gery
    0.83
     redemption
    0.82
     celebration
    0.80
     clarification
    0.80
     instance
    0.78
     awhile
    0.77
    Activations Density 0.149%

    No Known Activations