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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. 12167
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    INDEX
    Explanations

    words related to problem-solving and addressing issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to problem-solving and solutions

    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
    ĸļ
    -0.94
    ateurs
    -0.77
    leans
    -0.74
    fman
    -0.73
    haps
    -0.71
     Zup
    -0.69
    verts
    -0.68
    ée
    -0.67
    ometers
    -0.67
    isine
    -0.66
    POSITIVE LOGITS
     problems
    1.43
     problem
    1.38
     deficiencies
    1.33
     shortfall
    1.22
     shortcomings
    1.22
     woes
    1.20
     misconceptions
    1.18
     deficiency
    1.17
     Problems
    1.17
     imbalance
    1.16
    Activations Density 0.310%

    No Known Activations