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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. 9-RES-JB
    11. 2393
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    Explanations

    phrases indicating a sense of urgency or importance

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "as" followed by various contexts indicating comparisons or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rous
    -0.64
    BACK
    -0.62
    racuse
    -0.60
    rol
    -0.60
    oller
    -0.60
    RY
    -0.60
    rance
    -0.59
    eor
    -0.59
    âĹ¼
    -0.58
    yang
    -0.58
    POSITIVE LOGITS
    ynchron
    1.06
     well
    1.04
     soon
    1.02
     efficiently
    1.00
    semble
    0.97
     usual
    0.96
    ap
    0.92
     cheaply
    0.90
     opposed
    0.88
    under
    0.87
    Activations Density 0.149%

    No Known Activations