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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. 2-RES-JB
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    terms related to statistical analysis and regression models

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regression analysis and statistical modeling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ttp
    -0.72
    lain
    -0.69
    ãĥķãĤ¡
    -0.68
    sole
    -0.66
    uchin
    -0.65
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
    neys
    -0.63
     [/
    -0.62
     Stores
    -0.62
    \\\\\\\\
    -0.62
    POSITIVE LOGITS
     regression
    1.08
     coefficients
    1.02
     regress
    0.99
     coefficient
    0.94
     slope
    0.73
    orescence
    0.72
     equations
    0.70
     equation
    0.68
    interstitial
    0.65
     nightmares
    0.65
    Activations Density 0.014%

    No Known Activations