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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10391
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    Explanations

    phrases related to meeting requirements or demands

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fulfilling requirements or standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cember
    -0.81
    ucha
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    eware
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    container
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    john
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    etheless
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    wcs
    -0.67
    ary
    -0.66
    trop
    -0.65
    iegel
    -0.65
    POSITIVE LOGITS
    amorph
    0.92
     expectations
    0.92
    tle
    0.89
    ropolis
    0.78
     deadlines
    0.76
     Reincarn
    0.72
     standards
    0.71
    ings
    0.69
    irements
    0.69
    ãĤ¤ãĥĪ
    0.68
    Activations Density 0.031%

    No Known Activations