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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. 6-RES-JB
    11. 10853
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    Explanations

    text related to iteration or repetition

    oai_token-act-pair · gpt-3.5-turbo

    words related to iterative processes and variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    paper
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    onom
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    reb
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    ufact
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    vironment
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    INTON
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    ounters
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    ãĤ¤
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    mberg
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    ACH
    -0.60
    POSITIVE LOGITS
    aneously
    0.98
    oute
    0.87
     thereof
    0.79
    xes
    0.79
    aneous
    0.75
    hire
    0.70
    lihood
    0.68
     Pwr
    0.67
     delet
    0.64
     solves
    0.64
    Activations Density 0.174%

    No Known Activations