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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. 6-RES-JB
    6. 8250
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    Explanations

    positions or titles related to editorial and managerial roles

    oai_token-act-pair · gpt-3.5-turbo

    references to editorial or leadership roles

    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
    Not in Any Lists

    No Comments

    Negative Logits
     whim
    -0.73
     chaotic
    -0.69
    ulus
    -0.65
     decency
    -0.65
     stranger
    -0.65
     suscept
    -0.64
    namese
    -0.64
     peril
    -0.64
     catast
    -0.64
    rums
    -0.64
    POSITIVE LOGITS
     overseeing
    0.75
     Dean
    0.73
    arsity
    0.71
    bernatorial
    0.70
     Assist
    0.69
    bard
    0.68
    ective
    0.68
     adjunct
    0.68
    RECT
    0.67
     Editorial
    0.64
    Activations Density 0.232%

    No Known Activations