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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. 9-RES-JB
    6. 16209
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    Explanations

    phrases related to technical explanations or instructions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to memory and its understanding

    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
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    Negative Logits
    §
    -0.76
    lator
    -0.73
    fecture
    -0.65
    gard
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     Pwr
    -0.64
    rov
    -0.63
    anus
    -0.62
    ĭ
    -0.61
    whatever
    -0.61
    ologne
    -0.61
    POSITIVE LOGITS
     misconceptions
    0.93
     reluct
    0.85
     pitfalls
    0.74
     misconception
    0.71
     challeng
    0.70
     versus
    0.68
     motivations
    0.67
     mindset
    0.65
     myths
    0.64
     experien
    0.64
    Activations Density 0.616%

    No Known Activations